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# AI Singapore

## Sitemaps
- [XML Sitemap](https://aisingapore.org/sitemap_index.xml): Includes all crawlable and indexable pages.

## Posts
- [AISG Research Collaborative Project with US-NSF Researchers](https://aisingapore.org/aisg-research-collaborative-with-us-nsf-researchers/): Ensuring that AI systems are trustworthy and reliable is crucial for advancing artificial intelligence capabilities and maintaining technological competitiveness. Cutting-edge research in this area aims to build systems that are not only safe and robust, but also transparent and explainable, contributing to AI innovation leadership and advancing capabilities that benefit both collaborating nations.
- [PINNACLE:  PINN Adaptive ColLocation and Experimental Points Selection](https://aisingapore.org/pinnacle-pinn-adaptive-collocation-and-experimental-points-selection/): As we all know, deep learning has been applied with great success to domains with massive datasets, such as computer vision (CV) or natural language processing (NLP). This leads to an important question of whether it can similarly be applied to scientific and engineering domains, where typically there is limited data due to high costs of running experiments or simulations. 
- [BadEdit: Backdooring Large Language Models By Model Editing](https://aisingapore.org/badedit-backdooring-large-language-models-by-model-editing/): Large Language Models (LLMs) exemplified by ChatGPT continue to gain widespread usage in addressing a diverse spectrum of Natural Language Processing (NLP)-related tasks within the daily lives of individuals. Meanwhile, potential attacks on these models can have significant and far-reaching consequences. One such detrimental threat is the backdoor attack, in which adversaries inject backdoors within the model, enabling them to manipulate the model’s outputs by inserting trigger words into input sequences for malicious purposes. Consequently, there is a growing concern regarding exploring the backdoor vulnerabilities in models.
- [Towards Robust and Expressive Whole-body Human Pose and Shape Estimation](https://aisingapore.org/towards-robust-and-expressive-whole-body-human-pose-and-shape-estimation/): Given a single RGB image, 3D human pose and shape estimation aims to reconstruct human body meshes with the help of statistic models. It has gained widespread attention owing to its extensive applications in various fields, including robotics, computer graphics, and augmented/virtual reality. SMPL , MANO , FLAME and popular statistical models to individually reconstruct different parts of human body, face, and hand. Recently, there is a growing interest in whole-body estimation, which jointly estimates the pose, hand gestures and facial expressions of the entire human body from the input. Compared to previous work that only learns body pose and shape parameters, expressive human pose and shape estimation models (SMPLX) detailed facial expression and hand gestures by learning extra hand and face poses, and facial expression.
- [Breaking Barriers, Building Bridges:  Increasing Language Representation in Southeast Asia](https://aisingapore.org/breaking-barriers-building-bridges-increasing-language-representation-in-southeast-asia/): Held outside of Singapore for the very first time, the third Languages Summit was co-hosted by AI Singapore, Google and VISTEC in Bangkok, Thailand and brought together a passionate community of AI experts and researchers from all corners of the SEA region. This event, dedicated to building a more inclusive AI future, provided a platform for exchanging discussions and insights around efficient model training, obtaining and sharing high-quality data, and regional updates on AI.
- [Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only](https://aisingapore.org/clean-image-backdoor-attacking-multi-label-models-with-poisoned-labels-only/): Multi-label learning is commonly exploited to recognize a set of categories in an input sample and label them accordingly, which has made great progress in various domains including image annotation, object detection, and text categorization. It aims to recognize and label multiple objects in one image correctly. Figure 1 shows one of the most common examples of multi-label recognition: multi-object recognition. As shown, when we have an image and need to identify the objects present in it, we can use a multi-label deep learning model to recognize these objects.
- [Utilizing Symbolic Regression to discover a larger class of splits for Decision Trees](https://aisingapore.org/utilizing-symbolic-regression-to-discover-a-larger-class-of-splits-for-decision-trees/): This work is based on the paper: K.S. Fong and M. Motani, “Symbolic Regression Enhanced Decision Trees for Classification Tasks” Annual AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, Feb. 2024.
- [AI in Finance Global Challenge Startup Grant Awardee](https://aisingapore.org/ai-in-finance-global-challenge-startup-grant-awardee/): In June 2023, the Monetary Authority of Singapore (MAS) launched the 8th edition of the Global FinTech Hackcelerator, titled “AI in Finance Global Challenge”. The competition was conducted in partnership with AI Singapore (AISG) and powered by Oliver Wyman. It seeks to produce innovative and market-ready AI solutions that can transform the financial services industry.
- [Leveraging Generative AI in Project Management](https://aisingapore.org/leveraging-generative-ai-in-project-management/): Introduction
- [Learning to Generate Unbounded 3D Scenes from Image Collections](https://aisingapore.org/learning-to-generate-unbounded-3d-scenes-from-image-collections/): Scene generation has raised considerable attention in recent years, addressing the growing need for 3D creative tools in the metaverse. At the core of 3D content creation is inverse graphics, which aims to recover 3D representations from 2D observations. Given the cost and labor for creating 3D assets, the ultimate goal of 3D content creation would be learning a generative model from in-the-wild 2D images.
- [Quasi-Newton Methods in the Big Data Era](https://aisingapore.org/quasi-newton-methods-in-the-big-data-era/): In this article, I will give a brief introduction to quasi-Newton methods for training large-scale machine learning models. AI products are prevalent in everyone's daily life, including voice assistants, face recognition, and omnipotent chatbots. The core of an AI application is a well-trained machine-learning model that can make predictions or generate responses from previously unseen data.
- [Data Management for AI/ML Projects – From Project Management Perspective](https://aisingapore.org/data-management-for-ai-ml-projects-from-project-management-perspective/): Effective data management is crucial in AI/ML projects to ensure optimal performance of the models. As a project manager, one must oversee and manage various aspects, from data provisioning to data quality, to ensuring that the data pipeline is robust and reliable, etc. This article sees data management from the project management angle and relates the project management aspects to ensure successful and on time project delivery.
- [AI Innovation Tech Talk Series](https://aisingapore.org/ai-innovation-tech-talk-series/): Join the Conversations on Using the Latest Cutting-Edge AI Technologies
- [Building a More Inclusive AI Future, Together in Southeast Asia](https://aisingapore.org/building-a-more-inclusive-ai-future-together-in-southeast-asia/): Southeast Asia comprises a rich tapestry of cultures, languages and perspectives. At Google and AI Singapore, we believe that building a more inclusive AI future means embracing this diversity and empowering communities across the region. To further this vision, we recently partnered to host the Project SEALD Language Summit at Google Singapore, bringing together a passionate group of AI experts and researchers from across Southeast Asia.
- [Making AI Lighter, Not Heavier with ONLY 1 network and many masks](https://aisingapore.org/making-ai-lighter-not-heavier-with-only-1-network-and-many-masks/): In order to understand lighter AI, imagine that you're packing for a vacation. You want to bring a bunch of guidebooks for all the places you'll visit, but your suitcase cannot fit all of them. This is also like a challenge we face in the world of AI, particularly with language models. These are like digital brains that help computers understand and generate human language. Now, teaching these AI brains to do new things usually means packing in more and more information, making them heavy and so hard to handle. But what if we could just bring one guidebook that magically has all the information we need? That's what we've done with ProPETL!
- [SAM-Adapter: Finetune Your Own Segment Anything Model in an Effective and Efficient Manner](https://aisingapore.org/sam-adapter-finetune-your-own-segment-anything-model-in-an-effective-and-efficient-manner/): However, as computer vision encompasses a broad spectrum of problems, SAM’s incompleteness is evident, which is similar to other foundation models since the training data cannot encompass the entire corpus, and working scenarios are subject to variation, so it may fail in processing some special types of images and tasks. In this study, the authors first test SAM in some challenging low-level structural segmentation tasks including camouflaged object detection (concealed scenes) and shadow detection, and they find that the SAM model trained on general images cannot perfectly "Segment Anything" in these cases.
- [HI-Concept: Explaining Language Model Predictions with High-Impact Concepts](https://aisingapore.org/hi-concept-explaining-language-model-predictions-with-high-impact-concepts/): Over the past few years, large language models (LLMs) have achieved tremendous progress, leading them to be widely applied in sensitive applications such as personalized recommendation bots and recruitment. 
- [InsActor: Instruction-driven Physics-based Characters](https://aisingapore.org/insactor-instruction-driven-physics-based-characters/): Generating life-like natural motions in a simulated environment has been the focus of physics-based character animation. To enable user interaction with the generated motion, various conditions such as waypoints (?) have been introduced to control the generation process. In particular, language instructions (?️), which have been widely adopted in text generation and image generation, have recently drawn attention in physics-simulated character animation. The accessibility and versatility of human instructions open up new possibilities for downstream physics-based character applications.
- [How to effectively manage scope changes for AI/ML projects?](https://aisingapore.org/how-to-effectively-manage-scope-changes-for-ai-ml-projects/): Scope changes are inevitable in any project, and they could be particularly challenging for Artificial Intelligence/Machine Learning (AI/ML) projects. Given the rapid evolution of AI/ML technologies, projects in this domain are often coupled with evolving requirements and stakeholder expectations, potentially leading to frequent adjustments in project scope. Consequently, effectively managing these changes becomes crucial to mitigate project risks and ensure project success.
- [Elegant Image Domain Translation: A Diffusion-based Mechanism with Label Guidance](https://aisingapore.org/elegant-image-domain-translation-a-diffusion-based-mechanism-with-label-guidance/): Here, we handle the research of Image Domain Translation in Semantic Segmentation.
- [Building AI That Learns Like How A Capable Human Learns](https://aisingapore.org/building-ai-that-learns-like-how-a-capable-human-learns/): With the advent and rise of artificial intelligence (AI), humans have created and taught numerous AI models to master a variety of tasks. Ranging from differentiating dogs and cats, to generating images and texts for us. In the field of neurorehabilitation, scientists are even capable of building AI to recognise a human’s brain signals in order to move objects with just a thought.
- [Applying Liminal Thinking in Project Management](https://aisingapore.org/applying-liminal-thinking-in-project-management/): The word liminal comes from the Latin word līmen, meaning “on the threshold”. It refers to the transitional space between two states, such as the threshold between waking and sleeping. Liminal thinking is about being in between the two states (transitional state), and exploring other choices and directions.
- [A neuroscientist, lecturer and an Oil & Gas specialist – what do they have in common?](https://aisingapore.org/a-neuroscientist-lecturer-and-oil-gas-specialist-what-do-they-have-in-common/): Our heartiest congratulations to Team SGRLers who represented AI Singapore to participate in the Computational Economics Competition hosted by the China Computer Federation (CCF).  The team which comprised 3 AIAP apprentices – Chen Weiqiang and Huang Yuli (AIAP Batch 13) and Benjamin Chew (AIAP Batch 12) embarked on this 4-month-long challenge with the goal of learning and displaying their AI skills. Their efforts were recognised and they emerged with top honours in the competition.
- [Collaborative Causal Inference with Fair Incentives](https://aisingapore.org/collaborative-causal-inference-with-fair-incentives/): Causal inference estimates the causal effect of treatment variables for some target population(s) and is widely adopted across various fields. In healthcare, hospitals perform causal inference of the efficacy of drugs. For example, physicians would gather realistic data on the patient’s recovery rate about various types of medications for the same disease, and use these data to find out which type of medication is more effective, according to how much each medication can improve the recovery rate compared to a placebo. In agriculture, causal inference is used to determine the achievable growth from applying a particular type of nutrient in a similar manner.
- [Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression](https://aisingapore.org/night-image-enhancement-when-layer-decomposition-meets-light-effects-suppression/): This paper shares the ECCV 2022 paper "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression". The National University of Singapore (NUS) proposed a night image enhancement algorithm, that suppresses light-effects and enhances low-light regions, the code has been open-sourced!
- [Managing ML Projects to Deal with Data Issues](https://aisingapore.org/managing-ml-projects-to-deal-with-data-issues/): First and foremost, it's essential to acknowledge the pivotal role data plays in ML projects. The quality, distribution and integrity aspects of data are the bedrocks upon which the success of ML projects stands. Garbage in, garbage out, and in the world of machine learning, this statement couldn't be more true. Data directly affects the performance of the models. If the data for a ML project is problematic, the performance of the models would be subpar. This would affect the outcome of the business value that comes from the models’ performance.
- [Helping Humans Master Complex Tasks with AI Tutors](https://aisingapore.org/helping-humans-master-complex-tasks-with-ai-tutors/): In the ever-evolving world of artificial intelligence, we've seen incredible feats achieved by machines. From conquering games like Starcraft, Go, and Chess to tackling complex real-world challenges, artificial intelligence has shown its prowess. But here's the catch: getting these AI "experts" to teach us mere mortals remains quite the puzzle. Imagine trying to learn how to play chess by talking to AlphaZero—could we really understand all the 1s and 0s? Another approach is to observe how the AI trains, then replicate it for humans. Well, that's where the "Parameterized Environment Response Model," or PERM for short, swoops in to save the day.
- [Creating Better Machine Learning Models through Sharing](https://aisingapore.org/creating-better-machine-learning-models-through-sharing/): While at a previous job about ten years back, data scientist Ng See-Kiong embarked on a project that would open up many metaphorical doors for his future research. As part of an early work to transform Singapore into a smart city, Ng was attempting to build a machine learning model that would help road users easily map their routes.
- [Uncovering causal relationships using adaptive interventions](https://aisingapore.org/uncovering-causal-relationships-using-adaptive-interventions/): Will eating kaya toast or roti prata for breakfast make me feel more satisfied? If I exercised more, will I become fitter? Should I major in Computer Science or Medicine if I want to have a more meaningful career?
- [Managing Data and Infrastructure in AI Projects: Key Challenges and Solutions](https://aisingapore.org/managing-data-and-infrastructure-in-ai-projects-key-challenges-and-solutionst/): In a previous article, I shared about the challenges faced in the area of project scope while managing AI projects. In this article, I am going to share some of the key challenges faced, in the area of  data and development environment, and how they were addressed by the project managers and the project teams.
- [Towards Building Unified Autonomous Vehicle Scene Representation for Physical AV Adversarial Attacks and Visual Robustness Enhancement](https://aisingapore.org/towards-building-unified-autonomous-vehicle-scene-representation-for-physical-av-adversarial-attacks-and-visual-robustness-enhancement/): This project will develop novel multi-view and multi-modal defences based on a unified framework that comprises a novel AV scene representation that will be used to generate realistic scenes with diverse conditions and attack vectors.
- [Development of Stable, Robust and Secure Intelligent Systems for Autonomous Vehicles](https://aisingapore.org/development-of-stable-robust-and-secure-intelligent-systems-for-autonomous-vehicles/): This project will harness the collective strengths of machine learning, stable control, and generative AI to develop a robust and intelligent system that can adjust its neural network’s behaviour and characteristics in real-time to counter adversarial attacks in complex environments.
- [Holistic Moving Target Defence for Autonomous Driving Perception](https://aisingapore.org/holistic-moving-target-defence-for-autonomous-driving-perception/): This project will develop a Moving Target Defence (MTD) approach that creates and deploys AI mechanisms that are diverse and rapidly changing to limit the exposure of vulnerabilities and opportunities for attacks, increase the complexity and cost for attackers.
- [Design Beyond What You Know: Material Informed Differential Generative AI (MIDGAI) for Light-Weight High-Entropy Alloys and Multi-functional Composites](https://aisingapore.org/design-beyond-what-you-know-material-informed-differential-generative-ai-midgai-for-light-weight-high-entropy-alloys-and-multi-functional-composites/): This project will develop a generative AI framework for materials design that combines with discriminative models to enhance robustness and overcome data scarcity. By incorporating domain knowledge, the AI model will enable a more controllable, directed, and efficient exploration of material design spaces through advanced optimisation algorithms.
- [MATAI: An AI-Powered Generalist Material Discovery Platform](https://aisingapore.org/matai-an-ai-powered-generalist-material-discovery-platform/): This project will develop an AI-powered generalist platform with three key components: a holistic material database, a foundational material property predictor, and a generalist multi-property material designer in a large search space.
- [From AI Apprentice to Beyond: My Career Transformation with AI Apprenticeship Program (AIAP)](https://aisingapore.org/from-ai-apprentice-to-beyond-my-career-transformation-with-ai-apprenticeship-program-aiap/): What do advising companies on AI strategy, shaping global AI initiatives, and mentoring AI startup founders all have in common? They trace their roots to my transformative experience in AI Singapore's AI Apprenticeship Program (AIAP). If you're contemplating a career pivot into AI through AIAP, this article aims to inspire you through my journey.
- [A Personalised AI Trainer that’s Attuned to your Needs](https://aisingapore.org/a-personalised-ai-trainer-thats-attuned-to-your-needs/): For Pradeep Varakantham, there’s one scene in The Matrix that stands out clearly in his mind. In a dim room, hero Neo lies back in a black leather chair that’s hooked up to a computer. His acquaintance slips a slim disc into the machine, and Neo twitches in pain as the programme it contains — a combat training one with knowledge of jujitsu, tae kwon do, drunken boxing, and the like — is uploaded into his brain. When it’s all over, Neo’s eyes bolt wide open, and he announces in amazement to his mentor Morpheus: “I know kung fu.”
- [Impactful Careers of an AI Apprentice](https://aisingapore.org/impactful-careers-of-an-ai-apprentice/): It was the first day of the AI apprenticeship program, Batch #2. We had just picked out our seats from the rows of desks available in the AISG office on the 5th floor of the Innovation 4.0 building. I was somewhere in the middle, next to DQ, who was previously a project manager at a large global bank, and Hanifa, who I was learning, as he introduced himself to the rest of the batch, had already been a software engineer for over 10 years. He finished, and it was now my turn to introduce myself.
- [AIAP® Technical Assessment Past Years Series](https://aisingapore.org/aiap-technical-assessment-past-years-series-2/): AI Singapore’s AI Apprenticeship Programme (AIAP)® was launched in 2018 to groom local Singaporean AI talent and enhance their career with AI-related skills. Since its launch, there have been 14 batches of apprentices who have embarked on this award-winning programme.
- [How can AI help in IT project management?](https://aisingapore.org/how-can-ai-help-in-it-project-management/): In Project Management & AI series from AISG project management group, this is another topic on How can AI help in IT project management?
- [How AI Singapore is Leveraging Generative AI to Scale AIAP and Our Team](https://aisingapore.org/how-ai-singapore-is-leveraging-generative-ai-to-scale-aiap-and-our-team/): A global trend is emerging where large organisations attribute the rise of Generative AI as an excuse to slow down, halt or remove roles that they think are susceptible to replacement by Generative AI. While this shift has sparked concerns about job security in certain industries, innovative and agile organizations instead leverage Generative AI for new business growth.
- [Elevate & Transform Your website with Semantic Search Revolution Using Typesense](https://aisingapore.org/elevate-transform-your-website-with-semantic-search-revolution-using-typesense/): As a front-end developer, I’m passionate about merging technology and user experience. In this article, I delve into the fascinating realm of semantic search. Discover more about this powerful technology and how it profoundly affects businesses. In addition, I will share my personal experience of incorporating semantic search functionalities into WordPress using Typesense.
- [Elevate & Transform Your website with Semantic Search Revolution Using Typesense](https://aisingapore.org/semantic-search-on-your-wordpress/): As a front-end developer, I’m passionate about merging technology and user experience. In this article, I delve into the fascinating realm of semantic search. Discover more about this powerful technology and how it profoundly affects businesses. In addition, I will share my personal experience of incorporating semantic search functionalities into WordPress using Typesense.
- [Accelerating AI with 100E](https://aisingapore.org/accelerating-ai-with-100e/): Navigating AI adoption can be daunting. To inspire action, we'll showcase three real-world examples where strategic implementations delivered immense value. From increased revenue to improved efficiency and customer satisfaction, these proven use cases demonstrate the transformative power of AI across business functions. By highlighting these 100E successes, we aim to help leaders recognize the immense opportunities within reach. Let these three inspiring examples ignite ideas for how AI could soon improve your own organization.
- [The AIAP (and 100E) Experience](https://aisingapore.org/the-aiap-and-100e-experience/): Now that you know the AIAP origin story and what we look for in an apprentice, this article will share a bit more about the AIAP programme.
- [Hello, Are You an AI Apprentice?](https://aisingapore.org/hello-are-you-an-ai-apprentice/): AI Singapore's AI Apprenticeship Programme (AIAP) is a unique opportunity for passionate and highly motivated individuals to develop their skills in AI and machine learning and contribute to Singapore's growing AI ecosystem. The programme is designed to provide the individual with a comprehensive yet practical learning experience, combining technical training in AI/ML and software engineering (MLOPs) to real-world projects leading to actual deployment by organizations and mentorship from our passionate AI mentors.
- [Reflecting on 5 Years of AIAP’s Growth and Impact](https://aisingapore.org/reflecting-on-5-years-of-aiaps-growth-and-impact/): As the creator of AI Singapore's AI Apprenticeship Programme (AIAP), it's incredible to see how much it has grown over the past 5 years. From humble beginnings, AIAP has become a thriving programme that's elevating Singapore's AI capabilities.
- [Development of NetZero BEMS through AI-based HVAC System Control](https://aisingapore.org/development-of-netzero-bems-through-ai-based-hvac-system-control/): Heating, Ventilation, and Air Conditioning (HVAC) systems contribute substantially to nearly half of total building energy consumption, leading to the building sector being a major energy consumer in many countries like Singapore and South Korea. To achieve net-zero energy buildings (NZEB), using optimal control/operation methodologies for energy management of HVAC systems is one of the prompt and cost-effective solutions that not only improve building energy efficiency but also reduce building energy consumption. 
- [AIAP Widens Singapore’s AI Talent Pool to Fuel Inclusive Innovation](https://aisingapore.org/aiap-widens-singapores-ai-talent-pool-to-fuel-inclusive-innovation/): Singapore has grand ambitions of becoming a global AI innovation and talent hub. While AI engineers remain a critical part of the ecosystem, building world-class AI applications requires a diverse talent pool beyond coders and data scientists.
- [Harnessing the Power of AI in Singapore: An Inside Look at Connect.AI](https://aisingapore.org/harnessing-the-power-of-ai-in-singapore-an-inside-look-at-connect-ai/): In the rapidly evolving digital landscape, finding the right AI talents and solutions can be challenging for many Small and Medium-sized Enterprises (SMEs). Fortunately, a powerful and dedicated platform has emerged in Singapore to tackle this issue head-on – AI4SME - https://ai4sme.aisingapore.org/.

## Pages
- [Mailing List](https://aisingapore.org/mailing-list/): Subscription FormYour NameEmailPlease let us know what information you would like to receive:- Select -General information & news from AISGAI Research & DevelopmentAIAP, LADPAIxTech News & ActivitiesEvents & WorkshopsEducational ResourcesIndustry ApplicationsOther skills development programmes e.g. LearnAIJoin Mailing List
- [AIxTech Eligible Tech Roles for Funding](https://aisingapore.org/aixtech-eligible-roles/): RoleDescriptionAI / Machine Learning EngineerBuilds and deploys scalable AI/ML models and data pipelines into production.Business Analyst / Business ArchitectBridges business and technical teams, turning business needs into solutions and roadmaps.Chief AI Officer / Chief Data OfficerMost senior leader for the organisation’s data and AI strategy, ethics and governance.Chief Information Officer / Chief Technology OfficerMost senior leader for the organisation’s overall IT and technology strategy.Chief Information Security OfficerMost senior leader for the organisation’s information and cyber security strategy.Chief Product Officer - TechnologyMost senior leader defining the vision, strategy and roadmap for technology products.Cyber Incident Response SpecialistInvestigates cyber incidents and breaches, including digital forensics and root-cause analysis.Cyber Risk Analyst / Threat Analysis ManagerAssesses cyber risk and identifies threats to systems and IT assets.Cybersecurity Architect / EngineerLeads the complex design and build of secure enterprise system architectures.Data Analyst / Business Intelligence ManagerCleans and analyses data to produce reports, dashboards and business insights.Data ArchitectDesigns the structure and standards for how data is stored, accessed and managed.Data EngineerBuilds and maintains data pipelines and systems for reliable data collection and processing.Data Protection OfficerOversees data governance and PDPA compliance, handling data privacy and breaches.Data Scientist / AI ScientistDevelops advanced data science models and analytics from design to deployment.Database Support EngineerAdministers, optimises and secures databases and resolves database issues.DevOps EngineerBuilds and runs CI/CD pipelines to automate software build, release and deployment.Embedded Systems EngineerDesigns and builds software for embedded systems within hardware products.Enterprise ArchitectAligns the organisation’s overall technology architecture with business strategy.Infocomm Applied ResearcherConducts applied R&D in emerging tech such as AI or quantum for business use.Infocomm Marketing & Sales ManagerLeads infocomm sales teams and strategies to meet sales and growth targets.Infocomm Sales SpecialistSells infocomm products and services to businesses and organisations.Infocomm Start-up FounderFounder of a Singapore-registered infocomm start-up creating its own products or services.Infocomm Support & OperationsFrontline IT support and operations, e.g. helpdesk, systems operators and technicians.Infrastructure Architect / Engineering ManagerDesigns infrastructure architecture across cloud, on-premise, servers and networks.Infrastructure EngineerImplements, tests and optimises infrastructure across on-premise, cloud and network.IT AuditorEvaluates IT systems, processes and controls to assess risk and ensure compliance.Multimedia DeveloperBuilds and maintains websites, mobile apps and social media applications.Network Engineer / Automation EngineerDesigns, builds and optimises network infrastructure, including SDN and 5G.Network Security Analyst / TesterDesigns, configures and tests network security to protect network infrastructure.Network, Servers & Systems AdministratorMaintains and secures networks, servers and computer systems for day-to-day operations.Product AnalystTurns market and user needs into product requirements backed by data and research.Product ManagerOwns a product’s life cycle from strategy and roadmap to launch and improvement.Project Manager / Scrum MasterPlans and delivers projects and programmes, often using Agile or Scrum practices.QA Engineer / Site Reliability EngineerTests, assures and monitors product quality, reliability and risk across systems.Quantum Hardware EngineerDesigns and tests quantum hardware such as qubits, gates and control electronics.Quantum Security EngineerSecures quantum computing systems, data and communications.Quantum Software EngineerDevelops software, algorithms and applications for quantum computing.Quantum Solution ArchitectDesigns and integrates quantum computing solutions for clients.Radio Frequency EngineerDesigns, builds and maintains wireless networks and radio communication systems.Security EngineerEmbeds security into system architectures to mitigate risks from new technologies.Security Operations Analyst / ManagerMonitors security logs in real time and responds to security events and incidents.Software & Applications ManagerLeads a team of developers to build and deploy software and business solutions.Software EngineerDesigns, builds, tests and maintains software applications and programs.Solutions ArchitectDesigns solution-level architecture and roadmaps to meet business needs.SysOps Engineer / Cloud Computing EngineerKeeps systems and cloud infrastructure reliable, efficient and secure.UI/UX DesignerDesigns user interfaces and experiences so apps are simple and engaging to use.Vulnerability Assessment & Penetration Testing AnalystRuns penetration tests and vulnerability assessments on systems and applications.
- [AIxTech](https://aisingapore.org/aixtech/): Master the engineering skills that define modern software development — the practical proficiencies every tech professional needs to use AI coding assistants effectively.
- [Powering SMEs and Organisations AI Readiness](https://aisingapore.org/innovation/airi/take-airi/): AIRI v3.1 has been released and now includes agentic AI questions
- [AICET](https://aisingapore.org/technology/aicet/): Transforming teaching and learning through advanced AI-enabled educational technologies, in collaboration with educators across Singapore's education ecosystem.
- [AI Ready ASEAN – Learner](https://aisingapore.org/talent/ai-ready-asean/learner/): AI Ready ASEAN, an initiative by the ASEAN Foundation with support from Google.org, is set to empower 5.5 million ASEAN citizens to thrive in the AI era.
- [AI Ready ASEAN – Master Trainer](https://aisingapore.org/talent/ai-ready-asean/master-trainer/): AI Ready ASEAN, an initiative by the ASEAN Foundation with support from Google.org, is set to empower 5.5 million ASEAN citizens to thrive in the AI era.
- [AI For Good (Educator)](https://aisingapore.org/talent/ai-for-good-educator/): To #PLUSskill 100 educators from ASEAN and empower them to conduct 40 AI classes for 5,000 students in their home communities.
- [AI Ready ASEAN](https://aisingapore.org/talent/ai-ready-asean/): AI Ready ASEAN, an initiative by the ASEAN Foundation with support from Google.org, is set to empower 5.5 million ASEAN citizens to thrive in the AI era.
- [AI For Good](https://aisingapore.org/talent/ai-for-good/): AI for Good is a branch of initiatives under LearnAI, focusing on outreach initiatives to underprivileged communities. This initiative seeks to bridge the digital divide by making AI resources, tools and knowledge accessible to those who may otherwise lack opportunities, creating meaningful and positive impact.
- [National AI Student Challenge (NAISC)](https://aisingapore.org/talent/national-ai-student-challenge/): Empowering students by providing them with the platform and resources needed to accelerate their AI learning journey, fostering innovation and cultivating the next generation of AI users, practitioners, and creators equipped to tackle real-world challenges.
- [National Olympiad in Artificial Intelligence](https://aisingapore.org/talent/national-olympiad-in-artificial-intelligence/): National Olympiad in AI (NOAI) is a key initiative under AI Singapore's mission to develop local AI talent from foundation to frontier. We believe in providing early access to AI learning, when talent can be discovered and nurtured.
- [Talent](https://aisingapore.org/talent/)
- [Thank you](https://aisingapore.org/thank-you/): The page you’re looking for is no longer accessible. You may wish to explore our other programmes and topics, which are still available on our website.
- [Internship](https://aisingapore.org/internship/): To apply to a specific project or share your CV for future opportunities, please complete the Internship Form.
- [100 Experiments](https://aisingapore.org/innovation/100e/): Completed AI Projects
- [AI RESEARCH-GOVERNANCE JOINT GRANT CALL 2025](https://aisingapore.org/research/joint-grant-call/): AI Singapore (AISG) is a national programme that anchors deep national capabilities in AI. AISG’s Research and Governance Programme supports research projects on a competitive basis across Singapore-based Institutes of Higher Learning (IHLs)  and Research Institutions (RIs) .
- [AI FOR DEEPFAKE DETECTION](https://aisingapore.org/technology/international-grant-calls/ai-for-deepfake-detection/): Singapore – South Korea Joint Grant Call
- [Leveraging AI for Healthy Ageing](https://aisingapore.org/technology/international-grant-calls/leveraging-ai-for-healthy-ageing/): Singapore – New Zealand Joint Grant Call
- [DSO-AISG Project Incentive Award](https://aisingapore.org/research/dso-aisg-research-awards/application-form/): For PhD awardees, please indicate your availability period for internship:
- [DSO-AISG Incentive Award](https://aisingapore.org/research/dso-aisg-research-awards/): The DSO-AISG Incentive Award Programme is a joint initiative between AI Singapore (AISG) and DSO, designed to inspire post-graduate students to explore research related to large language models (LLMs). Our goal is to cultivate a new generation of Singaporean AI engineers and researchers with expertise in LLM foundation model development, while fostering practical skills through impactful research in key areas related to LLMs.
- [Global Challenge for Safe and Secure LLMs](https://aisingapore.org/global-challenge-for-safe-and-secure-llms/): The innovative use of AI, especially through Large Language Models (LLMs), presents both exciting opportunities and notable challenges. One such challenge is the ability of sophisticated jailbreaking attacks to circumvent existing safety mechanisms, highlighting the need for continued advancements in AI security.
- [AI Student Developer Conference](https://aisingapore.org/talent/aisdc/): The foremost AI conference for the youths in Singapore, empowering young minds to explore cutting-edge AI breakthroughs.
- [AI for Urban Cooling](https://aisingapore.org/technology/international-grant-calls/ai-for-urban-cooling/): Singapore – South Korea Joint Grant Call
- [Add Profile](https://aisingapore.org/innovation/aiap/apprentices/add/): Please use the following form to add your profile as an AI Singapore apprentice. You are not required to fill up the form if you do not want to be listed on our website and be seen by potential employers.
- [AI Accelerated Masters Programme](https://aisingapore.org/research/ai-amp/): The AISG AI Accelerated Masters Programme (AMP) is part of AISG’s Research programme which nurtures local AI talent and fosters interest in advanced fundamental AI research. The AMP empowers students to expedite their academic research journey by obtaining a Masters by Research degree within a year after completing their undergraduate studies in one of the Singapore-based Autonomous Universities (AUs)*. Our hope is that these talents will contribute to the other pillars of AI Singapore, the local AI eco-system and the society.
- [Current Apprentices](https://aisingapore.org/innovation/aiap/current-apprentices/)
- [Southeast Asian Languages in One Network Data(SEALD)](https://aisingapore.org/aiproducts/southeast-asian-languages-in-one-network-data-seald/): Project SEALD (Southeast Asian Languages in One Network Data) is the pioneer of multilingual data collection for Large Language Models (LLMs) in Southeast Asia (SEA) region. This represents one of the most extensive data collections of Southeast Asian languages: Indonesian, Malay, Tamil, Burmese, Filipino, Vietnamese, Thai, Lao and Khmer.
- [AI Governance Roundtables](https://aisingapore.org/governance/ai-governance-roundtables/): AI Singapore has convened a series of roundtables for representatives from industry, government, and academia to discuss responsible AI. Such discussions are typically too narrow and too broad. Too narrow in that a few voices dominate the discussion – notably those in the United States and Europe, with China sometimes included. Too broad in that discussion is often limited to generalities and principles.
- [Online Safety Prize Challenge (Low-Resource Detection of Harmful Memes with Social Bias)](https://aisingapore.org/online-safety-prize-challenge/): In the digital age, the proliferation of harmful online content, particularly memes, poses a significant challenge. Existing hate speech detection systems, primarily text-based, struggle to effectively tackle the complex nature of memes, which combine images and text. The urgency of addressing this issue is underscored by initiatives like Meta’s Hateful Meme Challenge.
- [International Advisory Panel (IAP)](https://aisingapore.org/home/international-advisory-panel-iap/): The IAP comprises leading AI researchers and practitioners who will provide advice and consultancy to AISG in the following areas:
- [AI Bricks](https://aisingapore.org/aiproducts/ai-bricks/): As part of our mission to make artificial intelligence (AI) accessible and beneficial for businesses, we've developed a suite of user-friendly, open-source AI products, toolkits, and frameworks. Discover more about our offerings below:
- [SEA-LION](https://aisingapore.org/aiproducts/sea-lion/): Welcome to the AI Products webpage which is dedicated to Large Language Models (LLMs). Our team builds the SEA-LION (Southeast Asian Languages In One Network) family of LLMs that is specifically pre-trained and instruct-tuned for the Southeast Asian (SEA) region.
- [AISG-SLA Visual Localisation Challenge Winners](https://aisingapore.org/aisg-sla-visual-localisation-challenge-winners/): The team’s approach builds on their recent research on deep learning-based image matching, in particular the two methods RoMa and DeDoDe. These image matching techniques are able to reliably estimate relative pose for a majority of the consecutive image pairs in the challenge sequence. To get good estimates for the most challenging image pairs in the sequence and to handle loop closures, the team further built a pipeline using image retrieval with DINOv2 and full structure-from-motion reconstruction with COLMAP.
- [Resources](https://aisingapore.org/governance/resources/)
- [AISG AI Internship Programme (AIIP)](https://aisingapore.org/innovation/aiip/): To groom the next generation of Artificial Intelligence (AI) talents in Singapore, AI Singapore (AISG), in collaboration with the Centre for Strategic Infocomm Technologies (CSIT), has introduced the AISG AI Internship Programme (AIIP). Successful applicants will work alongside AISG’s AI Engineers and AI Apprentices on real-world projects with deployment deliverables.
- [AI Singapore Social Media Accounts](https://aisingapore.org/ai-singapore-social-media-accounts/)
- [AISG Resource Directory](https://aisingapore.org/aisg-directory/)
- [AIIP Application Form](https://aisingapore.org/aiip-application-form/): This form is currently closed for submissions.
- [AI Researcher Articles](https://aisingapore.org/research/features/): Anticipating how others will act is a critical human skill that researchers are working to transfer to robots.
- [LADP Registration Form](https://aisingapore.org/ladp-registration-form/): This form is currently closed for submissions.
- [LLM Application Developer Programme (LADP)](https://aisingapore.org/llm-application-developer-programme-ladp/): With Large Language Models (LLMs) demonstrating remarkable capabilities across a diverse range of tasks, we have introduced the LLM Application Developer Programme (LADP), a strategic Generative AI initiative in collaboration with SGTech, to help companies accelerate their adoption of LLMs. In this course, participants will be equipped with the fundamental knowledge and skills in prompt engineering, which is an emerging field in artificial intelligence (AI) that specialises in creating and refining prompts, to effectively leverage LLMs.
- [Technology for Enterprise Capability Upgrading (T-Up)](https://aisingapore.org/technology-for-enterprise-capability-upgrading-t-up/): The Technology for Enterprise Capability Upgrading (T-Up) Scheme seeks to strengthen the artificial intelligence (AI) capability of local companies through the secondment of AI Engineers from AI Singapore (AISG).
- [AI in Finance Global Challenge](https://aisingapore.org/ai-in-finance-global-challenge/): Innovative and market-ready AI solutions to transform the financial services industry
- [StorywrAIter](https://aisingapore.org/storywraiter/): StorywrAIter is an AI-assisted writing tool that enables parents and children to work together to create children's stories in Southeast Asian Languages. The tool provides guidance in the idea development process, offers suggestions when the writer is stuck, and generates a first draft. Users can edit the first draft and create a final piece.
- [Updates](https://aisingapore.org/governance/updates/): Updates and relevant articles from the AI Governance team, our grantees, and other partners in the ecosystem.
- [AI Governance Research Grant Call](https://aisingapore.org/governance/grant-call2023/): The AI Governance Research Grant Call 2023 aims at funding multi-disciplinary research that reflects novel ideas/visions that are underexplored, and/or also have a clear and significant social impact.
- [AISG-SLA Visual Localisation Challenge](https://aisingapore.org/technology/prize-based-challenges/aisg-sla-visual-localisation-challenge/): Research on 3D mapping plays a vital role in improving our quality of life through numerous smart city applications. However, acquiring 3D data can be expensive, rendering frequent or large-scale data updates impractical. To address this issue, AI technologies are being explored to infer 3D information from easily accessible 2D images.
- [Singapore – Israel Joint Grant Call](https://aisingapore.org/technology/international-grant-calls/singapore-israel-joint-grant-call/): AI Singapore and the Ministry of Innovation, Science and Technology of the State of Israel (MOST) have launched a joint grant call totalling USD 1million to support up to three (3) bilateral research proposals for up to 18 months on the topic of: 
- [Trusted Media Challenge](https://aisingapore.org/trustedmediachallenge/): The Trusted Media Challenge was a five-month long competition aimed at attracting the AI community to design and test out AI models and solutions that will easily detect audiovisual fake media, where both video and audio modalities may be modified.

## Apprentices
- [Dalle3Bota](https://aisingapore.org/apprentice/dalle3bota/)
- [Wakata](https://aisingapore.org/apprentice/11756-2/)
- [Betaza](https://aisingapore.org/apprentice/betaza/)
- [Alexa](https://aisingapore.org/apprentice/alexa/)

## AI Governance
- [AISG AI Research Symposium 2025: Governing AI Agents](https://aisingapore.org/ai-governance/aisg-ai-research-symposium-2025-governing-ai-agents/): At the AI Research Symposium on 27 May 2025, as part of the 2025 ATxSummit Village events, the AI Governance team from AI Singapore brought together academia, government, and industry to discuss the governance of AI agents. The discussion spanned across two sessions, the first on “Introducing AI Agents”, in which panellists focused on identifying the challenges of real-world deployment, where current research on agentic AI systems is headed, and some possible directions to govern AI agents. The second session on “Regulatory and Ethical Questions”, discussed the moral underpinnings of agentic AI systems, as well as required shifts in public policy and international coordination approaches to govern such AI agents.
- [Taming Cultural Fractals: Why AI Needs to Get ‘Thick’.](https://aisingapore.org/ai-governance/taming-cultural-fractals-why-ai-needs-to-get-thick/): Written By:
- [International AI Cooperation and Governance Forum 2024](https://aisingapore.org/ai-governance/international-ai-cooperation-and-governance-forum-2024/): As Artificial Intelligence (AI) governance emerges as a critical global challenge, the need for a comprehensive international framework to regulate high-risk scenarios has never been more urgent. The International AI Cooperation and Governance Forum 2024, themed “International Cooperation on AI Governance,” was convened on 2-3 December 2024 in Singapore by the National University of Singapore, Tsinghua University, and Hong Kong University of Science and Technology. The forum included academic researchers, industry leaders, and regulatory authorities from across the globe to explore the essential role of international collaboration in AI governance, complementing both national and self-regulatory efforts.
- [In Defence of Friction.](https://aisingapore.org/ai-governance/in-defence-of-friction/): Written By:
- [Current LLM evaluations do not sufficiently measure all we need](https://aisingapore.org/ai-governance/current-llm-evaluations-do-not-sufficiently-measure-all-we-need/): Written By:
- [What are we even talking about?](https://aisingapore.org/ai-governance/what-are-we-even-talking-about/): Written By:
- [Saving artificial intelligence from humanity](https://aisingapore.org/ai-governance/saving-artificial-intelligence-from-humanity/): (Original article is featured here: https://www.straitstimes.com/singapore/saving-artificial-intelligence-from-humanity- Straits Times, 25 March 2024)
- [You think AI will render coding redundant? Not so fast](https://aisingapore.org/ai-governance/you-think-ai-will-render-coding-redundant-not-so-fast/): (Original article is featured here: https://www.straitstimes.com/opinion/you-think-ai-will-render-coding-redundant-not-so-fast (Straits Times, 19 March 2024)
- [Good models borrow, great models steal: intellectual property rights and generative AI ](https://aisingapore.org/ai-governance/good-models-borrow-great-models-steal-intellectual-property-rights-and-generative-ai/): Written By:
- [Truth Decay](https://aisingapore.org/ai-governance/truth-decay/): Written By:
- [Singapore sees surge in ChatGPT use: IN-cube survey](https://aisingapore.org/ai-governance/singapore-sees-surge-in-chatgpt-use-in-cube-survey/): Written By:
- [Commentary: We must become better writers in an age of ChatGPT](https://aisingapore.org/ai-governance/commentary-we-must-become-better-writers-in-an-age-of-chatgpt/): Written By:
- [Trustworthiness of AI for autonomous vehicles: What the public would look for](https://aisingapore.org/ai-governance/trustworthiness-of-ai-for-autonomous-vehicles-what-the-public-would-look-for/): Written By:
- [How does public trust matter in governing high-risk AI Systems](https://aisingapore.org/ai-governance/how-does-public-trust-matter-in-governing-high-risk-ai-systems/): Written By:
- [Is ChatGPT just a Copycat?](https://aisingapore.org/ai-governance/is-chatgpt-just-a-copycat/): Written By:
- [Lunch Talk with Prof Anu Bradford](https://aisingapore.org/ai-governance/lunch-talk-with-prof-anu-bradford/): The AI Governance pillar at AI Singapore was pleased to host Columbia University’s Anu Bradford to discuss her new book, “Digital Empires: The Global Battle to Regulate Technology”. She argues that there are horizontal battles underway between the market-based US model, a rights-based approach favoured in the EU, and China’s state-centric regime. In addition, each jurisdiction faces vertical battles as they seek to rein in tech companies without unnecessarily constraining innovation and growth. AISG’s Simon Chesterman and NUS Law’s David Tan led a lively discussion with a diverse mix of scholars and practitioners.
- [AISG AI Governance Research Symposium 2023](https://aisingapore.org/ai-governance/aisg-ai-governance-research-symposium-2023/): The inaugural AISG AI Governance Research Symposium was held on Monday, 5 June 2023, at Capella Singapore, as part of Asia Tech x Singapore (ATxSG).
- [From Reddit to ChatGPT: A Shift in How People Seek and Offer Advice Online](https://aisingapore.org/ai-governance/from-reddit-to-chatgpt-a-shift-in-how-people-seek-and-offer-advice-online/): Written By:
- [I Prompt, Therefore I Am](https://aisingapore.org/ai-governance/i-prompt-therefore-i-am/): Written By:
- [Algorithm as Boss or Coworker? Evidence from Randomized Field Experiment on Algorithmic Control](https://aisingapore.org/ai-governance/algorithm-as-boss-or-coworker-evidence-from-randomized-field-experiment-on-algorithmic-control/): Written By:
- [From Ethics to Law: Why, When, and How to Regulate AI](https://aisingapore.org/ai-governance/from-ethics-to-law-why-when-and-how-to-regulate-ai/): Written By:
- [Predicting consumer choices from eye tracking data](https://aisingapore.org/ai-governance/predicting-consumer-choices-from-eye-tracking-data/): Written By:
- [Let’s not learn the wrong lessons from what happened at CNET](https://aisingapore.org/ai-governance/lets-not-learn-the-wrong-lessons-from-what-happened-at-cnet/): Written By:
- [Moving towards Harmless AI – the Future of Fintech](https://aisingapore.org/ai-governance/moving-towards-harmless-ai-the-future-of-fintech/): Written By:
- [All Rise for the Honourable Robot Judge? Using Artificial Intelligence to Regulate AI](https://aisingapore.org/ai-governance/all-rise-for-the-honourable-robot-judge-using-artificial-intelligence-to-regulate-ai/): Written By:
- [AI-generated content is taking over the world. But who owns it?](https://aisingapore.org/ai-governance/ai-generated-content-is-taking-over-the-world-but-who-owns-it/): Written By:

## Instagram
- [Cleveland](https://aisingapore.org/instagram/cleveland/)
- [Amir Rahman](https://aisingapore.org/instagram/amir-rahman/)
- [International Maths Day](https://aisingapore.org/instagram/international-maths-day/)
- [Linh](https://aisingapore.org/instagram/linh/)
- [15 Feb AI JIO](https://aisingapore.org/instagram/15-feb-ai-jio/)
- [Seetoh](https://aisingapore.org/instagram/seetoh/)
- [Lee Ji Yee](https://aisingapore.org/instagram/lee-ji-yee/)
- [AI Mythbusters](https://aisingapore.org/instagram/ai-mythbusters/)
- [Merrick Neo](https://aisingapore.org/instagram/merrick-neo/)
- [DHS Talk](https://aisingapore.org/instagram/dhs-talk/)
- [How to not be fooled by an AI](https://aisingapore.org/instagram/how-to-not-be-fooled-by-an-ai/)
- [New LearnAI Site](https://aisingapore.org/instagram/new-learnai-site/)
- [Qian Nuo Wen](https://aisingapore.org/instagram/qian-nuo-wen/)
- [Andrea Yap](https://aisingapore.org/instagram/andrea-yap/)
- [AI-JIO! AWS](https://aisingapore.org/instagram/ai-jio-aws/)
- [Xaver Tan](https://aisingapore.org/instagram/xaver-tan/)
- [NAISC 2022](https://aisingapore.org/instagram/naisc-2022/)
- [Zaer Zaqy](https://aisingapore.org/instagram/zaer-zaqy/)
- [Jacky Tan LearnAI Stories](https://aisingapore.org/instagram/jacky-tan-learnai-stories/)
- [AI Exploration Day – ITECE](https://aisingapore.org/instagram/ai-exploration-day-itece/)
- [SCGS](https://aisingapore.org/instagram/scgs/)
- [Tan Rui Yang & Lam Yik Ting](https://aisingapore.org/instagram/tan-rui-yang-lam-yik-ting/)
- [Raffles Institution](https://aisingapore.org/instagram/raffles-institution/)
- [Hiring AI Talents event](https://aisingapore.org/instagram/hiring-ai-talents-event/)
- [Corporate Plan](https://aisingapore.org/instagram/corporate-plan/)
- [AISOP Halloween](https://aisingapore.org/instagram/aisop-halloween/)
- [Crystal Tang](https://aisingapore.org/instagram/crystal-tang/)
- [#SUG Family – Wei Tat](https://aisingapore.org/instagram/sug-family-wei-tat/)
- [AIAP Batch 12 Application reminder](https://aisingapore.org/instagram/aiap-batch-12-application-reminder/)
- [SGNLP Prof Lu](https://aisingapore.org/instagram/sgnlp-prof-lu/)
- [AIAP Batch 12 Webinar](https://aisingapore.org/instagram/aiap-batch-12-webinar/)
- [#LearnAI Stories – Dave Lim](https://aisingapore.org/instagram/learnai-stories-dave-lim/)
- [PeekingDuck v1.3: New GUI with Segmentation and Optimised Models](https://aisingapore.org/instagram/peekingduck-v1-3-new-gui-with-segmentation-and-optimised-models/)
- [#SUGFamily – Byron Yap](https://aisingapore.org/instagram/sugfamily-byron-yap/)
- [#SUGFamily – Chan Jian Sheng](https://aisingapore.org/instagram/sugfamily-chan-jian-sheng/)
- [AI Exploration Day](https://aisingapore.org/instagram/ai-exploration-day/)
- [LearnAI Coupon](https://aisingapore.org/instagram/learnai-coupon/)
- [sgnlp New Platform](https://aisingapore.org/instagram/sgnlp-new-platform/)
- [AI Student Outreach Programme to empower over 15,000 students to build job-readiness in STEM careers through AI skilling and internship opportunities](https://aisingapore.org/instagram/ai-student-outreach-programme-to-empower-over-15000-students-to-build-job-readiness-in-stem-careers-through-ai-skilling-and-internship-opportunities/)
- [Webinar on AI Intelligent Systems](https://aisingapore.org/instagram/webinar-on-ai-intelligent-systems/)
- [Teaching OPT to Paraphrase through Soft Prompt Tuning](https://aisingapore.org/instagram/teaching-opt-to-paraphrase-through-soft-prompt-tuning/)
- [PyCon SG Education Summit](https://aisingapore.org/instagram/pycon-sg-education-summit/)
- [#LearnAI Stories – Featuring Barnabas Chua](https://aisingapore.org/instagram/learnai-stories-featuring-barnabas-chua/)
- [#LearnAI Stories – Featuring Clara Tan](https://aisingapore.org/instagram/learnai-stories-featuring-clara-tan/)
- [AIAP 11 Closing Soon](https://aisingapore.org/instagram/aiap-11-closing-soon/)
- [AI SUG Open](https://aisingapore.org/instagram/ai-sug-open/)
- [SUG SCS](https://aisingapore.org/instagram/sug-scs/)
- [AI4K Book Feature – Jia En](https://aisingapore.org/instagram/ai4k-book-feature-jia-en/)
- [AIAP Batch 11 Info Sharing Session](https://aisingapore.org/instagram/aiap-batch-11-info-sharing-session/)
- [#LearnAI Stories – Featuring Lorraine Ong](https://aisingapore.org/instagram/learnai-stories-featuring-lorraine-ong/)

## Tech Offer
- [AI-based dynamic route optimization and driver job recommendation tool](https://aisingapore.org/tech-offers/ai-based-dynamic-route-optimization-and-driver-job-recommendation-tool/)
- [CURATE.AI – Personalised pharmocological intervention through small data phenotypic Optimisation](https://aisingapore.org/tech-offers/curate-ai-personalised-pharmocological-intervention-through-small-data-phenotypic-optimisation/)
- [A novel and lightweight Global-context aware image segmentation model](https://aisingapore.org/tech-offers/a-novel-and-lightweight-image-segmentation-model/)
- [A self-supervised machine learning model for identifying abnormal heart rhythms](https://aisingapore.org/tech-offers/a-self-supervised-machine-learning-model-for-identifying-abnormal-heart-rhythms/)
- [ez-vent: AI solution to help critical care specialists optimise mechanical ventilation settings](https://aisingapore.org/tech-offers/ai-solution-for-critically-ill-patients-reliant-on-mechanical-ventilation/)
- [Smart Robotic Biopsy Needle Path Planning for Lung Biopsy](https://aisingapore.org/tech-offers/smart-robotic-biopsy-needle-path-planning-for-lung-biopsy/)
- [EMPOWER+: AI-enabled mobile app for Self-management of chronic diseases](https://aisingapore.org/tech-offers/empower-ai-enabled-mobile-app-for-self-management-of-chronic-diseases/)
- [JARVIS-MACE: AI-driven risk prediction model for patients with Type 2 diabetes](https://aisingapore.org/tech-offers/mace-ai-driven-risk-prediction-model-for-patients-with-type-2-diabetes/)
- [Personalized Diabetes, hypertension, hyperLipidimia (DHL) Counselling Tool using AI (PERDICT.AI)](https://aisingapore.org/tech-offers/personalized-diabetes-hypertension-hyperlipidimia-dhl-counselling-tool-using-ai-perdict-ai/)
- [Indexing and retrieval of multi-viewpoint surveillance videos](https://aisingapore.org/tech-offers/indexing-and-retrieval-of-multi-viewpoint-surveillance-videos/)
- [AI-Aided Analysis of Capsule Endoscopy Images](https://aisingapore.org/tech-offers/ai-aided-analysis-of-capsule-endoscopy-images/): With the increasing global prevalence of gastrointestinal disorders, the rise in the geriatric population, and the preference for minimally invasive techniques by patients for diagnosis, the demand for capsule endoscopy is expected to grow to $1.2 billion by 2026.
But the process of detecting lesions or abnormalities from the images taken by the capsule endoscope is very tedious, time-consuming and error-prone. It takes about two hours for a doctor to read an image due to which the missed diagnosis rate could be high.
 
- [Automatic Text Mining of Medical Reports using AI](https://aisingapore.org/tech-offers/automatic-text-mining-of-medical-reports-using-ai/): The data mining tools market is expected to grow from USD 664.6 Million in 2020 to USD 1577.0 Million by 2028 - growing at a CAGR of 11.4% during the forecast period. Healthcare organisations are wading deeper into data mining to leverage the growing data sources as a result of the industry’s journey toward digitalisation.
One hurdle in digitalisation and the implementation of data mining in healthcare is that medical data is spread across different sources governed by different states, hospitals, and administrative departments. Such medical databases may not be technically compatible to make data sharing possible. Moreover, the current process manually analyses, extracts, and feeds meaningful data from non-electronic and electronic sources to the medical registries. This process is very labor-intensive, time-consuming, and prone to human error.
- [Smart glove for sign language recognition using AI](https://aisingapore.org/tech-offers/smart-glove-for-sign-language-recognition-using-ai/): Amid the COVID-19 crisis, the global market for Disabled and Elderly Assistive Technology estimated at US$23.3 Billion in the year 2020, is projected to reach a revised size of US$32 Billion by 2026, of which, communication aids, is projected to record a 5.6% CAGR and reach US$12.8 Billion by the end of the analysis period.
Sign language recognition is of paramount importance for removing the communication barrier between speech/hearing impaired persons and normal individuals. Current sign language recognition systems rely on extremely limited features such as amplitude, bandwidth, and polarity to identify simple and discrete gestures for numbers or letters. This is far from the translation requirement of sentences that are frequently used in the daily life of the speech/hearing impaired. Besides, most reported works only achieve unidirectional delivery of recognition results without allowing two-way interaction between the speech/hearing-impaired user and a normal user.
- [Improving Satellite Digital Elevation Models (DEM) using AI](https://aisingapore.org/tech-offers/improving-satellite-digital-elevation-models-dem-using-ai/): The digital elevation model market accounted for almost 10% market share of GIS market globally and is projected to register a 16.9% CAGR to reach $4.7 billion by 2029. The growth in the DEM market attributes to the rising adoption of DEM software across various applications.
Acquiring a high resolution and high accuracy Digital Elevation Model (DEM) is very challenging as it is very time-consuming and costly. The cost of acquiring high-resolution commercial satellite data is substantial. Publicly accessible satellite DEM data are not of high accuracy or resolution.
- [MapBatch – A conservative deep learning batch normalisation method for analysis of single-cell RNA-seq data](https://aisingapore.org/tech-offers/mapbatch-a-conservative-deep-learning-batch-normalisation-method-for-analysis-of-single-cell-rna-seq-data/): Many biological processes involve the participation of rare cell populations such as cancer stem cells in cancer or immune cell subsets in various diseases. The identification of such cell subpopulations can aid disease subtype identification, rational therapy design, and prognosis prediction.  Single-cell RNA sequencing (scRNA-seq) can identify distinct cell populations across multiple samples with batch normalisation used to reduce processing-based effects between samples. However, existing batch normalisation tools tend to “over correct” (i.e. they remove batch effects but, at the same time, also eliminate genuine biological signals and introduce other artifacts), obscuring rare cell populations which may become merged into other cell types. There is a need for conservative batch normalisation that maintains the biological signal necessary to detect rare cell populations.
- [Embedding Knowledge into Learning](https://aisingapore.org/tech-offers/embedding-knowledge-into-learning/): Recent successful AI techniques, particularly those based on deep learning,  are not yet adequate for more demanding applications. In particular, they require a very large amount of labelled training data, especially for more complex problems. One reason for this is that the methods do not utilise available knowledge well in combination with the learning methods.
- [Real-time Detection of Illegal Parking Offences using Video Analytics](https://aisingapore.org/tech-offers/real-time-detection-of-illegal-parking-offences-using-video-analytics/): The global market for Smart Cities is projected to reach a revised size of US$2.5 Trillion by 2026 with Smart Governance & Education projected to record a 24.4% CAGR and reach US$915.5 Billion by the end of the analysis period. The ongoing pandemic has provided an opportunity for expediting the use of digital technologies for creating smart cities and improving the lives of its citizens. Among the different initiatives that are being explored is the development of smart traffic control and parking management systems.
Illegal parking causes many problems such as traffic jams and safety risks to other road users. Hence, checking for illegally-parked vehicles has become an important task of modern urban management. The current enforcement process of checking illegally-parked vehicles highly depends on enforcement officers on foot patrol. This can be labour-intensive and time-consuming.
- [Machine Learning Model for Predictive Maintenance of Lifts/Elevators](https://aisingapore.org/tech-offers/machine-learning-model-for-predictive-maintenance-of-lifts-elevators/): The rising investment in commercial and residential infrastructure projects in the developing and developed economies has led to an increase in the growth of elevator and escalator markets. The global elevator and escalator market is projected to grow from USD 83.86 billion in 2022 to USD 132.08 billion by 2029, exhibiting a CAGR of 6.7% during the forecast period. 
Elevator maintenance companies currently adopt a reactive lift maintenance approach whereby the crew is notified of a specific fault after it has occurred and the crew rectifies the fault based on fault codes obtained from the lift monitoring device.
- [Optimising Semiconductor Chip Placement with Machine Learning](https://aisingapore.org/tech-offers/optimising-semiconductor-chip-placement-with-machine-learning/): The FPGA market was USD5.3 billion in 2016 and is expected to grow to USD9.5 billion by 2023 with a CAGR of 8.5%. The ASIC market was USD18.7 billion in 2017 and is forecasted to become USD35.2 billion by 2024 with a CAGR of 9.5%. Both FPGA and ASIC chips are widely used in consumer electronics as well as enterprise systems. Each of these chips consists of millions of transistors (depending on chip size and complexity)
Chip placement is the process of arranging different components on a chip before manufacturing. A chip placement consists of rectangular grids, with each grid containing sections of, or one or different modules. Due to the complexity of modern chips, optimising how to arrange different modules requires highly experienced integrated circuit engineers and is one of the pain points in chip design, not to mention expensive. Poor placement will lead to the product not meeting performance specifications and costly delays in the production schedule.
- [A Dynamic and Learning-Based Vehicle Routing Solver](https://aisingapore.org/tech-offers/a-dynamic-and-learning-based-vehicle-routing-solver/): The Vehicle Routing Problem (VRP) refers to the issue of finding feasible/optimal routes for a fleet of vehicles to minimize the number of vehicles utilized, and total distance and travelling time taken by all vehicles while satisfying all the given constraints. VRP is a well-known hard optimisation problem and is intractable in both theory and practice.
Furthermore, in practice, there are many types of VRP problems, which may correspond to different approaches to solve the problems.
It is, therefore, necessary to develop solvers which can handle a broad range of different VRP instances and give reasonable solutions in a reasonable time, and which can also fit within a VRP as a software service. Due to the intractability of VRP, solvers which give optimal solutions may not be feasible in practice, hence the emphasis on reasonable quality and efficiency.
- [An Improved Machine Learning Algorithm and Model to Generate Better Quality Search Results](https://aisingapore.org/tech-offers/an-improved-machine-learning-algorithm-and-model-to-generate-better-quality-search-results/): Current chatbots use a static FAQ database to answer questions. If a user raises a question not found in the FAQ database, the chatbot system is not able to give any answer.
- [Rationalising Deep Learning Model Decisions](https://aisingapore.org/tech-offers/rationalising-deep-learning-model-decisions/): There is a clear trade-off between the performance of a machine learning model and its ability to produce explainable and interpretable predictions. The improved predictive accuracy of deep learning models has often been achieved through increased model complexity, inherently reducing their ability to explain their inner workings and mechanisms. As a result, their predictions are hard to interpret. Systems whose decisions cannot be well-interpreted are difficult to be trusted, especially in sectors such as healthcare or autonomous vehicles. 
There is a need to rationalise a deep neural network model’s decision.
- [Online deep learning methods for Intelligent Threat Mitigation](https://aisingapore.org/tech-offers/online-deep-learning-methods-for-intelligent-threat-mitigation/): The global DDoS Protection and Mitigation market size is expected to grow from USD 3.3 billion in 2021 to USD 6.7 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 15.1% from 2021 to 2026. The rise in multi-vector DDoS attacks and ease of availability of DDoS-for-hire services are major factors fueling the market and provide lucrative opportunities for DDoS protection and mitigation vendors.
Distributed Denial-of-Service (DDoS) attacks continue to pose a significant threat to our present-day Internet network security, denying legitimate users access to shared and essential resources. Adopting deep learning solutions to filter out application layer attack requests is challenging due to ever-changing profiles, lack of labeled data, and constraints in the online setting. Offline unsupervised learning methods can sidestep these hurdles by learning an anomaly detector from the normal-day traffic. However, anomaly detection does not exploit information acquired during attacks and its performance typically is not satisfactory.
- [Auto-Tagging of Patent Applications to Facilitate Discovery of Relevant Prior Art](https://aisingapore.org/tech-offers/auto-tagging-of-patent-applications-to-facilitate-discovery-of-relevant-prior-art/): NLP is the fastest-growing subset of AI that applies linguistics and computer science to make human language understandable to machines. The NLP market is expected to grow from USD 11.6 billion in 2020 to USD 35.1 billion by 2026, at a CAGR of 20.3% during the forecast period.
Time is a critical factor in the field of prior art searches. Traditionally, patent examiners manually search by keyword, class, or citation in order to extract an exhaustive list of prior art relevant to the invention proposed in the patent application in question. With the increasing volume of patent data, finding relevant information and analysing prior arts would be time-consuming when done manually, especially if you want to achieve quality and accuracy.
From an AI perspective, the key linguistic and semantic challenges are legal wording, long sentences, acronyms, and the technical nature of patent applications. Existing AI algorithms on their own cannot support every aspect of the prior art search process.
- [Base Metal/Stock Price Forecasting from Alternate Data Sources Using AI](https://aisingapore.org/tech-offers/base-metal-stock-price-forecasting-from-alternate-data-sources-using-ai/): The future trend of base metal prices is affected by a wide range of factors such as supply and demand, and macroeconomic conditions. This information is very important for governments as well as industries.
The spot prices of base metals, which are used for constructing infrastructure and various types of products, can be incredibly difficult to predict. The prices are stochastic and highly non-linear as they are influenced by many factors with complex relationships. They are also affected by macro-economic situations such as currency exchange rates and government policy changes, such as increase in import tax rates.
With greater market volatility and uncertainty, and more data sources available to train machine learning and deep learning models, AI will play a big role in commodity price prediction in the future.
- [TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications](https://aisingapore.org/tech-offers/tracer-a-framework-for-facilitating-accurate-and-interpretable-analytics-for-high-stakes-applications/): Artificial intelligence in the healthcare market is projected to grow from USD 6.9 billion in 2021 to USD 67.4 billion by 2027, with a CAGR of 46.2% from 2021 to 2027.
The key factors fueling the growth of the market include market influx of large and complex healthcare datasets, growing need to reduce healthcare costs, improving computing power and declining hardware cost, rising number of partnerships and collaborations among different domains in healthcare sector, and surging need for improvised healthcare services due to imbalance between health workforce and patients. Additionally, growing potential of AI-based tools for elderly care, increasing focus on developing human-aware AI systems, and rising potential of AI technology in genomics, drug discovery, and imaging & diagnostics is expected to create a growth opportunity for artificial intelligence in the healthcare market.
In high stakes applications such as healthcare and finance analytics, the interpretability of predictive models is required and necessary for domain practitioners to trust the predictions. Traditional machine learning models e.g. logistic regression (LR) are easy to interpret in nature. However, many of these models aggregate time-series data without considering the temporal correlations and variations. Therefore, their performance cannot match up to recurrent neural network (RNN) based models. Although effective in modeling time-series data, the lack of interpretability tends to become an obstacle for deploying RNN-based models in healthcare analytics. An accurate and interpretable analytic model can help healthcare practitioners to make effective and responsive decisions on patient management and resource allocation.
- [Use of Computer Vision to Improve Construction Safety](https://aisingapore.org/tech-offers/use-of-computer-vision-to-improve-construction-safety/): The computer vision market is expected to grow from USD 10.9 billion in 2019 to USD 17.4 billion by 2024-growing at a CAGR of 7.8% during the forecast period. Major factors driving the market growth include the increasing need for quality inspection and automation, growing demand for vision-guided robotic systems and rising demand for application-specific computer vision systems.
The construction industry is the top contributor of workplace fatalities. Currently, the industry relies heavily on manual supervision to prevent accidents. However, not only is manual supervision resource intensive, different site personnel have varying standards and practices in addressing safety risks, and quality of supervision will be affected by human physical and mental fatigue. Fall from open (unbarricaded) edges, and falling objects during crane lifting are common causes of severe injuries and fatalities on construction sites. Even though CCTV cameras are installed on site and cameras are mounted in tower cranes, the video footages are not actively reviewed to monitor workers and site conditions.
- [Intelligent and Non-intrusive Monitoring of Android Devices for Protection Against Data-infringing Malware](https://aisingapore.org/tech-offers/intelligent-and-non-intrusive-monitoring-of-android-devices-for-protection-against-data-infringing-malware/): Android operating system controls the mobile OS market with close to 70% market share. 
The global malware analysis market is expected to grow to USD 11.7 billion in 2024, at a CAGR of 30%. Increasing cyber-attacks and a high number of false alerts are some of the factors that have contributed to the considerable size of the malware analysis market.
Android is the most popular mobile platform today. It is also the mobile operating system that is heavily targeted by malware. However, the Android system has matured security and privacy mechanisms to disallow any attempts of violating code/data privacy policy of third-party applications or the system even for the purpose of detecting malware. Since malware detection requires closely monitoring the execution of other Android applications and such monitoring is considered as potentially malicious, it is becoming more and more challenging to perform malware detection on Android.
- [New Deep Neural Network Methods and Collaborative Filtering Algorithms for Recommender Systems](https://aisingapore.org/tech-offers/new-deep-neural-network-methods-and-collaborative-filtering-algorithms-for-recommender-systems/): The recommendation engine market was valued at USD 2.12 billion in 2020, and it is expected to reach USD 15.13 billion by 2026, registering a CAGR of 37.46% during the period of 2021-2026, with Asia-Pacific identified as the fastest-growing market.
Item recommendation is a personalised ranking task. To this end, many recommender systems optimise models with pairwise ranking objectives such as the Bayesian Personalised Ranking (BPR). 
Optimising matrix factorisation (MF), the most widely used model in recommendation, with BPR leads to a recommender model that is not robust. In particular, the resultant model is highly vulnerable to adversarial perturbations on its model parameters, which implies a possibly large error in generalisation.
Incorporating knowledge graph into recommender systems: By exploring the interlinks within a knowledge graph, the connectivity between users and items can be discovered as paths, which provide rich and complementary information to user-item interactions. Such connectivity not only reveals the semantics of entities and relations, but also helps to comprehend a user's interest. However, existing efforts have not fully explored this connectivity to infer user preferences, especially in terms of modeling the sequential dependencies within and holistic semantics of a path.
- [Assisted and Automated Secured and Unsecured Lending](https://aisingapore.org/tech-offers/assisted-and-automated-secured-and-unsecured-lending/): The global credit rating software market size was valued at $0.42 billion in 2020, and is projected to reach $1.92 billion by 2030, growing at a CAGR of 16.5% from 2021 to 2030. Credit rating involves validating the credibility of individuals and companies based on their prior transactional and credit behaviour.
A credit score is a number used by lenders as an indicator of how likely an individual is to repay his debts and the probability of going into default. It is an independent assessment of the individual's risk as a credit applicant. A secured loan, also called a collateral loan, is a form of credit that is backed by an asset. By putting forward an asset to act as collateral, it implies that the lender is able to cut down the risk involved in lending cash to a borrower.
Credit scoring for secured and unsecured lending is a highly labor-intensive process with many points for human errors.  These errors can be highly costly and result in inefficiencies in the lending industry.  As a result, it is a highly risky business with high-interest rates.

## Pattern Library
- [Simple Programme](https://aisingapore.org/cloud/simple-programme/): The Technology for Enterprise Capability Upgrading (T-Up) Scheme seeks to strengthen the artificial intelligence (AI) capability of local companies through the secondment of AI Engineers from AI Singapore (AISG).
- [Brief Programmes](https://aisingapore.org/cloud/brief-programmes/): The Technology Challenge (Open-Theme) is a bottom-up approach to incentivise original and significant solutions, where applicants will define the target sector, problem scope, design approach and potential impact.
- [Programmes](https://aisingapore.org/cloud/programmes/): Introduction Here - Welcome to the Organization Innovation Support Program, an exciting opportunity to unleash the power of innovation in your business. We believe that every organization has the potential to achieve remarkable things, and we're here to help you make it happen. Join us on a transformative journey where you'll receive expert guidance, financial support, and access to cutting-edge technologies. Together, we'll turn your ideas into reality and propel your business to new heights. Get ready to explore the boundless possibilities that lie ahead and embrace a future filled with innovation and success.
- [Standard Page](https://aisingapore.org/cloud/standard-page/): Transforming the future of finance: Join the AI in Finance Global Challenge and unleash the power of artificial intelligence to revolutionize the industry!
- [Challenge Template](https://aisingapore.org/cloud/challenge-template/): Research on 3D mapping plays a vital role in improving our quality of life through numerous smart city applications. However, acquiring 3D data can be expensive, rendering frequent or large-scale data updates impractical. To address this issue, AI technologies are explored to infer 3D information from easily accessible 2D images.
- [Grant Call Landing Page](https://aisingapore.org/cloud/grant-call-landing-page/): Singapore-South Korea Joint Grant Call

## Elements
- [News Section](https://aisingapore.org/?kadence_element=news-section): News and Announcements from AI Singapore
- [AI Health Tech Challenge (New)](https://aisingapore.org/?kadence_element=grand-challenge-2-3): No Content
- [Grand Tech Challenges (Using Tag)](https://aisingapore.org/?kadence_element=grand-challenge-2-2): No Content
- [AI Governance](https://aisingapore.org/?kadence_element=ai-governance): No Content
- [OTTC](https://aisingapore.org/?kadence_element=ottc): Real-Time Deep Learning Networks for Fraud Detection in Modern E-Marketplace Systems Research TeamProblem, Approach, Outcomes Principal Investigator, Co-Principal Investigator & CollaboratorsScope, Design & Benefits Principal Investigator, Co-Principal Investigator & CollaboratorsProblem, Approach, Outcomes
- [Instagram Header](https://aisingapore.org/?kadence_element=instagram-header): @AI Singapore
- [Instagram Archive Layout](https://aisingapore.org/?kadence_element=instagram-archive-layout)
- [FAQ Header](https://aisingapore.org/?kadence_element=faq-header)
- [Grand Tech Challenge](https://aisingapore.org/?kadence_element=grand-challenge-2): No Content
- [Grand Challenge](https://aisingapore.org/?kadence_element=grand-challenge): No Content
- [Technology Offers](https://aisingapore.org/?kadence_element=technology-offers): No Content
- [Event Template](https://aisingapore.org/?kadence_element=event-template): VenueHere is AI SingaporeDateOctober 5, 2022Time10:00 - 11:00
- [Programmes Mega Menu](https://aisingapore.org/?kadence_element=programmes-mega-menu): Research Governance Technology Innovation Products LearnAI 1Research 2Governance 3Technology 4Innovation 5Products 6LearnAI

## FAQs
- [What shall I do if I did not receive Technical Assessment question at the start of the assessment period?](https://aisingapore.org/faq/what-shall-i-do-if-i-did-not-receive-technical-assessment-question-at-the-start-of-the-assessment/): First, please retrieve the email from aiap@aisingapore.org containing the Technical Assessment question from your spam folder.
- [What kind of employment do AIAP graduates get?](https://aisingapore.org/faq/what-kind-of-employment-do-aiap-graduates-get-after-the-programme/): The AI Apprenticeship Programme (AIAP) is one of the premier programmes training you to be a real-world-ready AI Engineer. Our AIAP team provides career advisory services (career workshops, 1-to-1 resume review and interview preparation) and facilitates introductions to our 300+ AIAP alumni network working in various sectors/industries. 
- [What are the financial and contractual obligations of AIAP?](https://aisingapore.org/faq/what-are-the-financial-and-contractual-obligations-of-aiap/): AI Singapore (AISG) and our sponsors provide sponsorship for the programme fee and monthly stipend. Apprentices will have to pay a miscellaneous fee of S$817.50 (inclusive of 9% GST) to cover student services, administrative items, etc.
- [What is the AIAP programme commitment and logistics?](https://aisingapore.org/faq/what-is-the-aiap-programme-commitment-and-logistics/): AIAP is a full-time programme. Apprentices are expected to work in-person at the AI Singapore office from 9 am - 6 pm, Monday to Friday.  95% attendance is a requirement for the successful completion of the programme. During AIAP, the apprentice will receive a monthly stipend of $4,000.
- [How can I confirm that I’m eligible for TeSA CLT / TMCA funding?](https://aisingapore.org/faq/how-can-i-confirm-that-im-eligible-for-tesa-clt-tmca-funding/): To be eligible for TeSA CLT/ TMCA funding and AIAP, the applicant must be a Singaporean who has NOT benefitted from TeSA CLT / TMCA funding or any other funding that has an on-the-job component with monthly stipend support (such as PCP, CCP, TFIP).
- [What shall I do if I fail the Technical Assessment or Interview?](https://aisingapore.org/faq/what-shall-i-do-if-i-fail-the-technical-assessment/): We strongly recommend you to revisit our AIAP Field Guide, and improve on the aspects that you have received feedback in the Technical Assessment or Interview. You can apply for AIAP as many times as you wish. 
- [How and when will I receive the Technical Assessment question?](https://aisingapore.org/faq/what-shall-i-do-to-ensure-i-receive-the-technical-assessment-question-on-the-start-date-of-assessment/): The assessment details will be emailed to you from aiap@aisingapore.org at the start date and time of Technical Assessment. The email will include:(i) instructions on how to complete and submit the assessment; and(ii) an outline of what the assessment is about. 
- [Will I get to the Technical Assessment round after submitting my application? ](https://aisingapore.org/faq/once-i-submit-my-aiap-application-will-i-get-to-the-technical-assessment-round/): Yes, definitely! All eligible applicants are invited to take our technical assessment. So we strongly encourage you to start preparing for the Technical Assessment as soon as possible.
- [I’m not ready to apply for the current batch of AIAP. When will the next batch open for applications?](https://aisingapore.org/faq/i-dont-think-im-ready-for-aiap-yet-what-is-the-batch-18-application-timeline/): We strongly encourage you to apply for the current intake to understand our selection process (Technical Assessment and Interview) and assess your proficiency. If the programme period does not work for you when you receive an AIAP offer, there is a possibility to start at a later batch.
- [How is my previous education and experience used in the AIAP selection process?](https://aisingapore.org/faq/how-is-my-previous-education-and-experience-used-in-the-aiap-selection-process/): Your previous education and experiences are valuable. For your AIAP selection process, you will be reviewed on (1) your technical assessment submission, and (2) interview with our AI Engineer and AIAP team.
- [What type of real-world industry projects do I get to work on?](https://aisingapore.org/faq/what-type-of-real-world-industry-projects-do-i-get-to-work-on/): You get to work on diverse, real-world AI projects across industries and AI domains. The list of projects are available for you to indicate your preference when you start with us. Here are some examples of the previous100 Experiment (100E) projects that our apprentices have worked with various organizations: World Wildlife Fund (WWF), Singapore General Hospital (SGH), Continental Automotive.
- [How qualified are the Apprentices?](https://aisingapore.org/faq/how-qualified-are-the-apprentices/): The AIAP is a rigorous programme, and graduates of the AIAP programme land into roles such as Data Scientist, AI/ML Engineers, MLOps Engineers and similar roles with leading organizations such as DBS Bank, Grab, ST Engineering, Google etc.
- [Do I have to pay talent placement fees?](https://aisingapore.org/faq/do-i-have-to-pay-talent-placement-fees/): There are no costs for partnering us. Our goal is to assist companies in Singapore in recruiting certified AI talent.
- [Can I hire these Talents as interns?](https://aisingapore.org/faq/can-i-hire-these-talents-as-interns/): It is unlikley any of our apprentices will join you as an intern.
- [How do I hire these AI Talents?](https://aisingapore.org/faq/how-do-i-hire-these-ai-talents/): You can submit your JD to aiap@aisingapore.org. 
- [What are the fees I have to pay for AIAP?](https://aisingapore.org/faq/what-are-the-fees-i-have-to-pay-for-aiap/): There is no application fee.
- [What is the training outcome of AIAP?](https://aisingapore.org/faq/what-is-the-training-outcome-of-aiap/): Candidates would be equipped with and be proficient in all or most of the following skills:
- [What are the AI job roles I can consider after completing AIAP?](https://aisingapore.org/faq/what-are-the-ai-jobs-and-roles-i-can-consider-after-completing-aiap/): Relevant AI job roles may include AI Engineer, Data Scientist, MLOps Engineer, AI DevOps Engineer, AI Developer, AI Product Manager, AI Project Manager, AI Transformation Manager or AI Consultant. Read more here. 
- [Will I get a certificate upon completion of AIAP?](https://aisingapore.org/faq/will-i-get-a-certificate-upon-completion-of-aiap/): Apprentices who have successfully completed AIAP will receive a certificate from AI Singapore.
- [Do I have to resign from my current job to join the AIAP?](https://aisingapore.org/faq/do-i-have-to-resign-from-my-current-job-to-join-the-aiap/): YES. AIAP is a FULL-TIME programme where you will undergo training at an intensive pace over 6 or 9 months at AI Singapore’s office / any appropriate location.
- [How are projects assigned to AIAP apprentices?](https://aisingapore.org/faq/how-are-projects-assigned-to-aiap-apprentices/): Assignment of projects happen in week 7-8 of the apprenticeship. Apprentices will be allowed to indicate their preferences. 
- [What will be covered in the AIAP?](https://aisingapore.org/faq/what-will-be-covered-in-the-aiap/): In the first 2 months of the AIAP programme (Deep-skilling phase), apprentices will broaden and deepen their knowledge in core AI/ML topics including Neural Networks, Computer Vision, Natural Language Processing and MLOps. Concurrently, apprentices will also be introduced to best software engineering practices.
- [Will I get a job after completing AIAP?](https://aisingapore.org/faq/will-i-get-a-job-after-the-aiap/): While there is no guaranteed placement at the end of the AIAP, there will be career development support (resume critique/interviewing skills workshops, attendance at fireside chats with industry professionals, and dedicated one-to-one career advisory) as well as sharing of job opportunities with our industry partners.
- [What AI tools and frameworks would the AIAP apprentices know?](https://aisingapore.org/faq/what-ai-tools-and-frameworks-would-the-aiap-apprentices-know/): Most of the projects done by the AIAP apprentices would be built in Python and using frameworks such as Tensorflow/Keras, PyTorch.
- [What if I decide to drop out of AIAP?](https://aisingapore.org/faq/what-if-i-decided-to-drop-out-of-aiap/): AIAP is a fully sponsored programme. If you drop out of the programme, you are required to pay back the programme fee and monthly stipend to AI Singapore (AISG).
- [What are the laptop requirements for AIAP? Or do you provide a laptop?](https://aisingapore.org/faq/what-are-the-laptop-requirements-for-aiap-or-do-you-provide-a-laptop/): You are required to use your own laptop for the AI Apprenticeship Programme (AIAP).
- [How is the Technical Assessment and Interview conducted?](https://aisingapore.org/faq/how-is-the-technical-assessment-and-interview-conducted/): Refer to the article on AIAP® Assessment here
- [What type of candidates are we looking for in AIAP?](https://aisingapore.org/faq/what-type-of-candidates-are-we-looking-for-in-aiap/): We are looking for candidates who possess a keen interest in pursuing a career in the area of machine learning and data science. We believe that candidates can come from any area of specialization, and the eligibility and requirements are as follows:
- [How can I best prepare for the AIAP Technical Assessment?](https://aisingapore.org/faq/how-can-i-prepare-for-the-aiap-programme/): As the first step, start with the Past Years Series and the article on AIAP Technical Assessment process. Then, refer to our AIAP Field Guide, consisting of self-directed learning resources - dive into topics that you want to brush up and improve as you prepare for the AIAP Technical Assessment.
- [What is Indirect Research Costs (IRC)?](https://aisingapore.org/faq/what-is-indirect-research-costs-irc/): IRC are overheads paid to the research institution of the research team or the AISG engineering team for the development of the AI models.
- [Who are the AI apprentices?](https://aisingapore.org/faq/who-are-the-ai-apprentices/): The AI apprentices are Singaporeans who have qualified for for a full-time 9-months programme known as the AI Apprenticeship Programme (AIAP).
- [What does ‘in-kind contribution’ mean?](https://aisingapore.org/faq/what-does-in-kind-contribution-mean/): Project Sponsor’s in-kind contributions comprise of the manpower assigned to the project.
- [When is the cash contribution required?](https://aisingapore.org/faq/when-is-the-cash-contribution-required/): The total cash (including the Indirect Research Costs and GST) to be paid will be invoiced to the organisation upon the endorsement of the Research Collaboration Agreement (RCA) for the project.
- [What if I do not have any datasets?](https://aisingapore.org/faq/what-if-i-do-not-have-any-datasets/): Datasets are fundamental to developing any deep-learning AI solution. It is preferred that the collection and annotation of data are completed before the commencement of the 100E, as these activities are not included in the scope of the 100E project. 
- [How long does it take for my proposal to be approved?](https://aisingapore.org/faq/how-long-does-it-take-for-my-proposal-to-be-approved/): The review of the proposal and the sample datasets typically require 2 months. 
- [Who can be the Principal Investigator (PI) or Co- Principal Investigator (Co-PI)?](https://aisingapore.org/faq/who-can-be-the-principal-investigator-pi-or-co-principal-investigator-co-pi/): The 100E PI (and Co-PI) has to be a full-time employee from an autonomous university or A*STAR. Full time is defined as at least 9 months of service a year or 75% appointment.
- [Can I have AI apprentices on my project?](https://aisingapore.org/faq/can-i-have-ai-apprentices-on-my-project/): AI apprentices will be assigned for all 9-month 100E-Industry projects.
- [What are my responsibilities as a Project Sponsor?](https://aisingapore.org/faq/what-are-my-responsibilities-as-a-project-sponsor/): To ensure a successful outcome from the 100E project, Project Sponsors are expected to have the following:
- [How does an organisation apply for the 100 Experiments (100E)?](https://aisingapore.org/faq/how-does-an-organisation-apply-for-the-100-experiments-100e/): AISG will provide the templates for an organisation to submit a proposal.
- [What are the differences between 100 Experiments for Industry (100E4I) and 100 Experiments for Research (100E4R)](https://aisingapore.org/faq/what-are-the-differences-between-100-experiments-for-industry-100e4i-and-100-experiments-for-research-100e4r/): IRC:  Indirect Research Costs

## Episode
- [#LearnAI Stories – Barnabas Chua](https://aisingapore.org/podcast/learnai-stories-barnabas-chua/)
- [Making of AI4K Storybook, Daisy and her AI Friends](https://aisingapore.org/podcast/making-of-ai4k-storybook-daisy-and-her-ai-friends/)
- [#LearnAI Stories – Ankur Shukla](https://aisingapore.org/podcast/learnai-stories-ankur-shukla/)
- [#LearnAI Stories – Wan Rong](https://aisingapore.org/podcast/learnai-stories-wan-rong/)
- [Improving Singapore’s AI Literacy With AI for Everyone](https://aisingapore.org/podcast/improving-singapores-ai-literacy-with-ai-for-everyone/)
- [AI Readiness Index – Where Are You on the AI Journey](https://aisingapore.org/podcast/ai-readiness-index-where-are-you-on-the-ai-journey/)
- [Building Platforms and Products at AI Singapore](https://aisingapore.org/podcast/building-platforms-and-products-at-ai-singapore/)
- [Improving Fraudulent Claims Detection with AI](https://aisingapore.org/podcast/improving-fraudulent-claims-detection-with-ai/)
- [Get on the AI Transformation Journey With AISG](https://aisingapore.org/podcast/get-on-the-ai-transformation-journey-with-aisg/)
- [PMET Transitions – Passion, Pain and Plan](https://aisingapore.org/podcast/pmet-transitions-passion-pain-and-plan/)
- [AI Apprenticeship Start-up Track](https://aisingapore.org/podcast/ai-apprenticeship-start-up-track/)
- [Voices from the AISG Federated Learning Lab](https://aisingapore.org/podcast/voices-from-the-aisg-federated-learning-lab/)
- [Improving Product Quality Engineering with AI](https://aisingapore.org/podcast/improving-product-quality-engineering-with-ai/)
- [Get Smart with Conversational AI with Noodle Factory](https://aisingapore.org/podcast/get-smart-with-conversational-ai-with-noodle-factory/)
- [Digital Transformation](https://aisingapore.org/podcast/digital-transformation/)
- [AI Singapore – Past Present Future](https://aisingapore.org/podcast/ai-singapore-past-present-future/)
- [About AI Singapore](https://aisingapore.org/podcast/about-ai-singapore/)