Andreas Tolias Lab @ Stanford University
@AToliasLab
to understand intelligence and develop technologies by combining neuroscience and AI
Had a great time with @ashleevance on @CoreMemoryPod talking foundation models for the brain, digital twins, #MICrONS and what that could mean for brains and machines. 🧠🤖👇
Our latest pod with @AndreasTolias on the cutting edge of brain research and the quest to use AI to make digital twins of human minds Sponsored by the fine people at @e1_ventures Timestamps 00:00 – Intro and the vision for digital twins 03:56 – Mapping the brain and AI…
Join us in San Diego this NeurIPS for a workshop on Foundation Models for the Brain and Body - bringing together researchers building large-scale models for biosignals in academia and industry. It's an exciting time to decode the brain and body.
Excited to announce the Foundation Models for the Brain and Body workshop at #NeurIPS2025!🧠 We invite short papers or interactive demos on AI for neural, physiological or behavioral data. Submit by Aug 22 👉 brainbodyfm-workshop.github.io
📢New conference where AI is the primary author and reviewer! agents4science.stanford.edu Current venues don't allow AI-written papers, so it's hard to assess the +/- of such works🤔 #Agents4Science solicits papers where AI is the main author w/ human advisors. 💡Initial reviews by…
Maybe you and other tech VCs could join together and speak up in defense of science funding. At the rate of today’s proposed budget cuts, in 3 to 4 years Americas’s production of world class STEM PhD’s will be cut in half.
I wrote down my rules on how to Science. I hope you find it useful!
Come to our CCN workshop! Blending iophysical constraints and neural networks. Topographical ANNs + and much more. @meenakshik93 @talia_konkle @PouyaBashivan @nmblauch @TimKietzmann @GwilliamsL @apurvaratan @jakhmack @Pieters_Tweet @martin_schrimpf Andrew Miri Nabil Imam
Announcement: Workshop at #CCN2025 🧠 Modeling the Physical Brain: Spatial Organization & Biophysical Constraints 🗓️ Monday, Aug 11 | 🕦 11:30–18:00 CET |📍 Room A2.07 🔗 Register: tinyurl.com/CCN-physical-b… #NeuroAI @CogCompNeuro
For anyone making it this far in the thread: We're training frontier models on 1T++ tokens of brain data, and we're looking for engineers and scientists 🧠 DM's are open! [7/6] fin.
Thanks to the enigma ml team: @AdrianoCardace @alexrgil14 @AtakanBedel @vedanglad 💪 Special thanks to our partner @mlfoundry for the support and their affordable H100 nodes! 💙 [6/6]
Congrats everyone
Thanks to the enigma ml team: @AdrianoCardace @alexrgil14 @AtakanBedel @vedanglad 💪 Special thanks to our partner @mlfoundry for the support and their affordable H100 nodes! 💙 [6/6]
Congrats @KonstantinWille and the Enigma Project team !!!
New NanoGPT training speed world record from the Enigma Project 🎉 (@AToliasLab, @naturecomputes, enigmaproject.ai) We improve the efficiency of gradient all_reduce. Short explainer of our method 👇 [1/6]
🚀 Congrats to @KonstantinWille and the Enigma Project team enigmaproject.ai for being NanoGPT speed‑run world record-champions for a glorious day 🏆🔥
New NanoGPT training speed record: 3.28 FineWeb val loss in 2.990 minutes on 8xH100 Previous record: 3.014 minutes (1.44s slower) Changelog: Accelerated gradient all-reduce New record-holders: @KonstantinWille et al. of The Enigma project
My (brief) thoughts on the definition of AGI, why we aren't there yet, and what is missing. Will be writing a short and succinct essay on this important topic soon.
Demis Hassabis says true AGI is a theoretical benchmark set by the human brain — the only proven architecture for general intelligence today’s models are impressive but inconsistent; anyone can find flaws within minutes. "real AGI should be so strong that it would take experts…
It makes no sense to train brilliant students and then make it difficult for them to join the American workforce, even temporarily. Canceling OPT will make America less competitive economically.
Without OPT I would not have been able to work in the US after my Stanford PhD in machine learning. Even with OPT as is I actually ran out of money because of the (sometimes) unreasonably long wait times (mine was 8 months) during which you can't work at all
We will likely be looking for someone with expertise with optical methods in vivo, cranial window surgeries in mice, analysis of 2P imaging data (especially ML-based), viral approaches. Nothing posted yet, but I know there are good people looking, so please reach out.
I want to write a blog talking about the most important & mind breaking ML equations. Anytime someone asks me about ML maths, I'll point them to it so they learn 95% of ML math just from 1 place, with practical implementation. Here's a list of what I believe matters, add urs.
Curious how foundation models and brain “digital twins” could change the game in diagnosis and treating neurological disease? Check out this discussion between @dyamins and Nicholas Weiler (@StanfordBrain).
Can we simulate the human brain with AI? In today's podcast, Wu Tsai Neuro Faculty Scholar @dyamins discusses what it would take to build a simulation of the human brain and how they could help us understand core algorithms for perception and cognition. neuroscience.stanford.edu/news/simulatin…
Looking to hire (full-time) an early career science writer who would also like to be on camera. Undergrad or masters in a scientific field required. Interest in bio-tech a plus. Writing skills + video skills a major plus. Send me your best stuff to - jobs AT corememory . com
Deeply grateful to the @SimonsFdn for launching SCENE and thrilled to join this 10-year journey into ecological neuroscience—unraveling how sensory and motor systems interact. Excited to collaborate with an incredible team of theorists and experimentalists working across…
We are so excited to announce our new Simons Collaboration on Ecological Neuroscience (SCENE)! This 10-year program will unite experts in experimental and computational #neuroscience approaches to investigate how the brain represents sensorimotor interactions.…
Enigma's excited to co-sponsor Foundry's AI for Science Symposium in San Francisco on May 16th. Join us for an exciting day of presentations and panels on how AI can transform the scientific process.
Join the discussion w/leaders from academia, government, non-profits, industry Organized by @mlfoundry Co-sponsored by @InvTechInc, Open Athena, and Enigma Project 🧵Registration and more info below