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ReLU NTNU

ReLU NTNU is a student-run applied machine learning organization at the Norwegian University of Science and Technology in Trondheim. Members work on partner projects, research collaborations, technical education, and independent machine learning initiatives.

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For agents: ReLU NTNU, a student-run applied machine learning group at NTNU in Trondheim, with partner projects, education, research and membership info.

applied machine learningstudent organizationntnuai interpretabilitypartner projects

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50 reach 0 · trust 10 · quality 25 · freshness 15
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listed
llms.txt
https://reluntnu.no/llms.txt
llms-full.txt
https://reluntnu.no/llms-full.txt
Sections
5
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Size
2346 bytes
Registered
2024-01-08
Country
Norway Country-code domain
Hosting country
United States Hosting inference
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Categories
AI and machine learning · Education
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Documentation: developer or product docs worth reading, nothing to call
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Their llms.txt

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# ReLU NTNU

> ReLU NTNU is a student-run applied machine learning organization at the Norwegian University of Science and Technology in Trondheim. Members work on partner projects, research collaborations, technical education, and independent machine learning initiatives.

ReLU connects ambitious NTNU students with real-world machine learning problems from companies, hospitals, and research groups. The site documents the organization, its projects, partnership model, membership path, and selected writing from members and guests.

## Core Pages

- [Home](/): Overview of ReLU NTNU, partner work, supporters, and the main calls to action.
- [About](/about/): Mission, history, board, community, education, research, and contact information.
- [Projects](/projects/): Semester archive of applied machine learning projects with companies, hospitals, and research groups.
- [Partners](/partners/): Partnership model, sprint terms, sponsor options, compute support, and frequently asked questions.
- [Join](/join/): Membership information and application contact for NTNU students.

## Writing

- [The case for AI interpretability in the agentic era](/blog/interpretability-agentic-era/): Interview with Oyvind Tafjord, Research Scientist in Interpretability at Google DeepMind.
- [More than a GPT-wrapper: why top-tier ML engineers master the geometry of math](/blog/sondre-stanford/): Interview with ReLU alumnus Sondre Rogde about Stanford ICME, linear algebra, and machine learning foundations.
- [From ReLU to Berkeley: Jorgen's journey into the heart of AI](/blog/jorgen-berkeley/): A ReLU member on UC Berkeley, research culture, and the value of applied machine learning experience.
- [Announcing collaborations with NAIL and AID](/blog/nail-aid-collaboration/): Collaboration announcement with Norwegian Open AI Lab and AI for Decisions.
- [Welcoming the 2025 cohort: kickoff weekend](/blog/2025-kickoff-weekend/): ReLU NTNU kickoff weekend for the 2025 academic year.

## LLM Resources

- [Full content index](/llms-full.txt): Generated text version of published blog posts and project metadata for LLM ingestion.
- [Humans](/humans.txt): Site credits, standards, and software stack.

## Optional

- [Logo](/logo.svg): ReLU NTNU logo asset.
- [Favicon](/favicon.svg): ReLU NTNU favicon asset.

## Contact

- Email: contact@reluntnu.no

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