Blake Richards

@tyrell_turing

Researcher at @mcgillu combining AI and neuroscience. Also on Bluesky (@tyrellturing.bsky.social) and Mastodon: @tyrell_turing@fediscience.org.

Montréal, Québec linclab.mila.quebec Joined April 2013

1.8K Following 16K Followers 23K Posts

Latest posts 5

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Blake Richards @tyrell_turing Oct 30

1/4) We're hiring in my lab, **please share**! 🚀

There are two postdoc opportunities in cog neuro and AI.

This is for a new project supported by a Schmidt Polymath Award. This project aims to build an engaging video game to collect data for neurofoundation models. 🧠🤖

Blake Richards @tyrell_turing Oct 21

Check out our new model for creating realistic motion in a virtual rat during RL!

I think of this as providing the "brainstem and spinal cord" for NeuroAI researchers who want to simulate realistic neuroscience experiments.

Congrats to @aidan_sirbu for getting this out!

Aidan @aidan_sirbu Oct 21

1/14) Virtual animals are a long-standing goal in neuro-AI, but they should actually behave like real animals.

We present SCAMPER: a virtual rat for RL studies that moves naturally during both exploration, and goal-directed behavior.

Project page: aidansirbu.com/SCAMPER-site/

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Blake Richards @tyrell_turing Oct 13

I signed! This is some common sense stuff.

Nicolas Papernot @NicolasPapernot Oct 13

Over 400 academics in 30+ countries signed our open letter calling for immediate changes in AI development and deployment practices to ensure that cybersecurity incidents do not continue to occur, as future incidents will be far more damaging to our critical infrastructure.

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Blake Richards @tyrell_turing Oct 5

PSA for all the folks submitting AI generated papers to ML conferences:

ACs are now being given the power to desk reject papers for being incomprehensible, and we will use this power.

Make sure your paper is actually human parsable, FFS!

Blake Richards @tyrell_turing Oct 2

I'm super proud of our team's work here, congrats to everyone, particularly @mayalen_etc and @eyvindn!

I'm pretty confident the future of AI lies in more decentralized, recurrent models like these. There are major possibilities vis-a-vis efficiency and robustness, I think.

Mayalen Etcheverry @mayalen_etc Oct 1

Can complex multi-step reasoning emerge purely from cells that only talk to immediate neighbors?

Happy to share our paper “Reasoning with Neural Cellular Automata (NCA)”, from our team at Google, Paradigms of Intelligence 🧵👇

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