We also analyzed the interpretability-accuracy tradeoff of our generated programs, and found a form of "efficient frontier". Although we selected our final programs mostly on accuracy, researchers can examine a diversity of programs along this frontier. 8/12

Lots more details, analyses, and results in the paper, which I encourage you to check out! biorxiv.org/content/10.110… 10/12

Very pleased to share our recent work, in which we use LLMs for automated discovery of interpretable models of animal behavior 🪰🐀🕵️‍♀️ that take the form of Python programs 🐍 See below for a summary of key results by Pablo Samuel Castro!

1/12 How do animals build an internal map of the world? In our new paper, we tracked thousands of neurons in mouse CA1 over days/weeks as they learned a VR navigation task. Nelson Spruston HHMI | Janelia, w/ co-1st author Johan Winnubst Video summary: youtube.com/watch?v=yw_4uV… Paper:

📣 Excited to announce our workshop "Agent-Based Models in Neuroscience: Complex Planning, Embodiment, and Beyond" at the upcoming CosyneMeeting #CoSyNe2025! 🧠🤖 🪱🪰🐟🐝🐭💪 🗓️ Join us in Mont-Tremblant, Canada, on March 31! neuro-agent-models.github.io

Hypothesis generation and testing is a critical capability for AGI imo. Super excited about our AI co-scientist and other AI for Science work which are important steps towards that. We're on the cusp of an incredible new golden age of AI accelerated scientific discovery.

New work with Vikram Gadagkar 's group on the role of dopamine, across development, as songbirds learn to sing 🐦‍⬛🎶

Highly recommend!

Looking to hire a student researcher to work on cool project for 6 months in DeepMind Montreal. Reqs: - Full-time masters/PhD student 🧑🏾‍🎓 - Substantial expertise in multi-agent RL, ideally including publication(s) 🤖🤖 - Strong Python coding skills 🐍 This you? Get in touch!

We built an AI model to simulate how a fruit fly walks, flies and behaves – in partnership with HHMI | Janelia. 🪰 Our computerized insect replicates realistic motion, and can even use its eyes to control its actions. Here’s how we developed it – and what it means for science. 🧵

Happy to share this work in collaboration with my HHMI | Janelia colleagues Roman Vaxenburg, Igor Siwanowicz, Kristin Branson @[email protected], Michael Reiser | michaelreiser.bsky.social, Gwyneth Card and more

Introducing AlphaEvolve: a Gemini-powered coding agent for algorithm discovery. It’s able to: 🔘 Design faster matrix multiplication algorithms 🔘 Find new solutions to open math problems 🔘 Make data centers, chip design and AI training more efficient across Google. 🧵

After 1.5 years of work, I'm so excited to announce AlphaEvolve – our new LLM + evolution agent! Learn more in the blog post: deepmind.google/discover/blog/… White paper PDF: storage.googleapis.com/deepmind-media… (1/2)

🎉Thrilled that the lab’s first paper is out today in nature! Credit to the amazing Francesca Greenstreet, Hernando Martinez and Yvonne Johansson. Thank you to everyone involved in this massive effort! nature.com/articles/s4158…

I'm excited to share that I will be joining as a student researcher at Google DeepMind in Montreal next week, hosted by Pablo Samuel Castro. I'll be working at the intersection of multi-agent reinforcement learning and neuroscience. Can't wait to get started!

thrilled that we'll be presenting this paper as a spotlight at #ICML2025 . come by our poster in vancouver to chat with us about the use of LLMs for advancing neuroscience! here's the camera-ready version: openreview.net/forum?id=dhRXG…

One of the things i am excited these days is about using LLMs for discovery. It started with the excitement about #FunSearch last year where I contributed in a very minor way to #AlphaEvolve but we ended up using FunSearch in 2 of very cool papers ICML Conference presented today (1|5)

Dive into the intricate connections in the mouse brain! This video showcases 107 reconstructed neurons, thanks to the combined efforts of our teams at the Allen Institute, global collaborators, and tools from Google. Imaged using our cutting-edge ExA-SPIM microscope. 🧠✨