LLMs have tokens. Images have patches. What should the brain have? 🤔 HBAR, our hierarchical tokenizer for fMRI, was just accepted to NeurIPS 2026! 🎉 It compresses fMRI ~415× while preserving structure from voxels → parcels → functional networks.

💰 Announcing prizes for the QuantiPhy Challenge @ NeurIPS 2026! 🏆 $3,500 total cash prizes Main Track 🥇 $1,000 · 🥈 $500 · 🥉 $250 Open-Weight Track 🥇 $1,000 · 🥈 $500 · 🥉 $250 ⏰ Team registration: Oct 9, 23:59 AoE ⏰ Submission deadline: Oct 23, 23:59 AoE

Today we announce 💰exciting prizes💰 for winners at the QuantiPhy Challenge @NeurIPSConf 2026. Register your team before 9th Oct. and submit csv files before 23rd Oct. to join the NeurIPS competition and win the prize!!! See more at: quantiphy.stanford.edu/compe…

Code for GenFusion: Feed-forward Human Performance Capture via Progressive Canonical Space Updates (ICLR 2026) is now public. Like watching a dancer spin, it fuses each frame into a canonical space and renders novel views from what was actually seen. github.com/emory-evgl/GenFus…

Code, checkpoints, and full 4D-Dress test results are out for comparison. Paper: arxiv.org/abs/2603.28997 Project: ai.stanford.edu/~youngjo2/Ge… Images: 1drv.ms/f/c/c6330e3fd35471af… Videos: 1drv.ms/f/c/c6330e3fd35471af… w/ Yao He, Heejung Choi, @gengchen01 , Zhengmao Liu,@jiajunwu_cs , @eadeli

Week 6 of the Stanford Sapp Family CS Bio-X Undergraduate Summer Research Program included 3 more amazing faculty presentations! The cohort enjoyed this week's talks from Dr. Annelise Barron ( @annelise_b ), Dr. Martha Cyert ( @CyertMartha ) , and Dr. Ehsan Adeli ( @eadeli )!

📢 New issue brief: World models will reshape how AI interacts with the physical world. Our latest brief examines their emergence, opportunities, risks, and national security implications, and proposes a governance framework to guide policy conversations as the technology matures. hai.stanford.edu/policy/the-…

Passionate about physical AI? Join our QuantiPhy Challenge!

🧠 Speaker Spotlight: Ehsan Adeli @eadeli AI in medicine is moving beyond research papers and prototypes. Ehsan Adeli is building translational AI systems that can move from the lab into real clinical care — combining medical AI, computer vision, ambient intelligence, and mental health research. 🔹 Director, STAI — Stanford Translational AI in Medicine & Mental Health @StanfordAILab 🔹 Co-Director, Stanford AI for Mental Health Initiative 🔹 Works across computer vision, ambient intelligence & computational neuroscience 🔹 Focused on real-world applications in aging, neurodegeneration, mental health & clinical care As AI becomes part of healthcare, the question is not just what models can predict — it’s how they can support clinicians, patients, and care systems in the real world. Hear Ehsan on stage at AGI Summit SF 2026. 📅 July 18–19, 2026 📍 Palace of Fine Arts, San Francisco 🎟 Tickets: luma.com/agisummit2026?coupo… 🏷️ 15% off automatically applied through the link #AGISummit #MedicalAI #HealthcareAI #MentalHealthAI #sanfrancisco

Turns out it's possible to generate videos that maximally excite an arbitrary brain region using a simple search-based algorithm. It's a fully computational approach, so it's another way to speculate what a brain region represents, alongside other neuroscientific methods. Select an arbitrary brain region->algorithmically generate a video that jacks it up. See the visuals on the webpage nevo-project.epfl.ch/ In silico (for now)

I'll be at ICML to present Latent Forcing! Come stop by the poster on Tuesday at 2:00 PM KST, Hall A #3507 Reach out if you want to chat about the future of generative models!

Thrilled to announce the 🏎️QuantiPhy Challenge🏃 to appear in #NeurIPS2026 Competition Track! Read more at: quantiphy.stanford.edu/compe… We host this competition to bring together attention from two important communities: VLMs and physics reasoning. How numerically accurate can your model estimate size/velocity/acceleration from video? Submit your results to the Quantiphy Challenge!! P.S. We are seeking sponsors to prepare exciting prizes for winners! Please reach out for sponsors that are open to collaborate :)

Last week, @StanfordHAI & AI4MH's 2026 symposium explored responsible AI adoption in mental health. CA Assembly Member @AsmMiaBonta stressed the need to protect youth as they turn to chatbots & other AI tools for mental health challenges. Full session ↘️ piped.video/watch?v=KBZJYkzq…

7/ Across ~13k 3D brain MRI scans from ADNI and AIBL, GeoSAE finds a compact set of interpretable features that predicts MCI-to-AD conversion and replicates across cohorts. 🫂 Huge thanks to my amazing collaborators Lucy Yin, Mohammad H. Abbasi, Kilian M. Pohl, and @eadeli!

It was so great meeting everyone and discussing our research. Looking forward to the rest of the week @CVPR !

10/ Prof. Ehsan Adeli (@Stanford Psychiatry + CS), Director of STAI Lab. Talk: "From Bedside to Living Room: Reimagining Care Through Ambient Intelligence" His lab deploys tiny cameras in senior homes to detect early signals of cognitive decline — catching Alzheimer's before a clinical visit ever would. Computer vision that lives quietly in the background of everyday life. The clinic can't be everywhere. Ambient AI can. 🏠🧠 #CVPR2026 #AmbientAI #CognitiveCare @CVPR @Stanford

Great work by @CristbalEyzagu2, @jiajunwu_cs, and @jcniebles from @StanfordAILab & @StanfordSVL.