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Jun 1, 2024

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Jun 3, 2024

Online & In-Person

Computational Mechanics Hackathon

The Computational Mechanics Interpretability Hackathon takes a new approach to neural network interpretability based on a well-developed and principled framework called Computational Mechanics. Computational Mechanics formally describes the information processing and computational structure necessary for prediction. Come join us to contribute to this exciting new research program and your chance at winning cash prizes!

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The Computational Mechanics Interpretability Hackathon takes a new approach to neural network interpretability based on a well-developed and principled framework called Computational Mechanics. Computational Mechanics formally describes the information processing and computational structure necessary for prediction. Come join us to contribute to this exciting new research program and your chance at winning cash prizes!

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This event has concluded.

66

Sign Ups

8

Entries

Overview

Entries

Overview

The Computational Mechanics Interpretability Hackathon takes a new approach to neural network interpretability based on a well-developed and principled framework called Computational Mechanics. Computational Mechanics formally describes the information processing and computational structure necessary for prediction. Come join us to contribute to this exciting new research program and your chance at winning cash prizes!

66

Sign Ups

8

Entries

Overview

Entries

Overview

The Computational Mechanics Interpretability Hackathon takes a new approach to neural network interpretability based on a well-developed and principled framework called Computational Mechanics. Computational Mechanics formally describes the information processing and computational structure necessary for prediction. Come join us to contribute to this exciting new research program and your chance at winning cash prizes!

66

Sign Ups

8

Entries

Overview

Entries

Overview

The Computational Mechanics Interpretability Hackathon takes a new approach to neural network interpretability based on a well-developed and principled framework called Computational Mechanics. Computational Mechanics formally describes the information processing and computational structure necessary for prediction. Come join us to contribute to this exciting new research program and your chance at winning cash prizes!

66

Sign Ups

8

Entries

Overview

Entries

Overview

The Computational Mechanics Interpretability Hackathon takes a new approach to neural network interpretability based on a well-developed and principled framework called Computational Mechanics. Computational Mechanics formally describes the information processing and computational structure necessary for prediction. Come join us to contribute to this exciting new research program and your chance at winning cash prizes!

Registered Jam Sites

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Beside the remote and virtual participation, our amazing organizers also host local hackathon locations where you can meet up in-person and connect with others in your area.

The in-person events for the Apart Sprints are run by passionate individuals just like you! We organize the schedule, speakers, and starter templates, and you can focus on engaging your local research, student, and engineering community.

We haven't announced jam sites yet

Check back later

Registered Jam Sites

Register A Location

Beside the remote and virtual participation, our amazing organizers also host local hackathon locations where you can meet up in-person and connect with others in your area.

The in-person events for the Apart Sprints are run by passionate individuals just like you! We organize the schedule, speakers, and starter templates, and you can focus on engaging your local research, student, and engineering community.

We haven't announced jam sites yet

Check back later

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latest news, research, and events

AI Safety Ideas

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sprints@apartresearch.com

Sign up to stay updated on the
latest news, research, and events

AI Safety Ideas

Code of Conduct

Responsible disclosure policy

sprints@apartresearch.com

Sign up to stay updated on the
latest news, research, and events

AI Safety Ideas

Code of Conduct

Responsible disclosure policy

sprints@apartresearch.com