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The 2024 Brain Prize goes to pioneers of computational and theoretical neuroscience: Larry Abbott, Haim Sompolinsky, and Terry Sejnowksi. It's fabulous to see the field being recognized in a big way, and I can't think of a more deserving group of laureates for it.

Final version of our Dynamic Predictive Coding paper with Linxing Preston Jiang is now out in PLOS Comp Biol - explains V1 space-time receptive field learning from natural videos to cognitive phenomena like postdiction and episodic memory and recall. #brain #AI journals.plos.org/ploscompbiol/a…

Excited to announce that Nature Neuroscience Nature Neuroscience has published my article "A sensory-motor theory of the neocortex" (based on active predictive coding). #Neuroscience #AI #brain PDF: homes.cs.washington.edu/~rao/Rao-Natur… Article page: nature.com/articles/s4159…

I will be at #NeurIPS2024! 🚨On academic/industry job market this year 🚨and excited to catch up in person! My research focused on data-efficient learning algorithms across model lifecycle (pre/post-training & test-time). Bridging classical theories (data selection, active

Introducing 𝐋𝐥𝐚𝐦𝐚𝐅𝐮𝐬𝐢𝐨𝐧: empowering Llama 🦙 with diffusion 🎨 to understand and generate text and images in arbitrary sequences. ✨ Building upon Transfusion, our recipe fully preserves Llama’s language performance while unlocking its multimodal understanding and

Excited to share my intern project at Salesforce Research! Huge thanks to everyone on the team!!

I'm honored and humbled to receive the IBM Ph.D. fellowship! Thank you to my advisor Katharina Reinecke, all my friends, mentors and collaborators at and outside University of Washington for their support and inspiration that push me to grow!! Congrats Shangbin Feng for the fellowship too!! #UWAllen

Our previous work showed that 𝐜𝐫𝐞𝐚𝐭𝐢𝐧𝐠 𝐯𝐢𝐬𝐮𝐚𝐥 𝐜𝐡𝐚𝐢𝐧‑𝐨𝐟‑𝐭𝐡𝐨𝐮𝐠𝐡𝐭𝐬 𝐯𝐢𝐚 𝐭𝐨𝐨𝐥 𝐮𝐬𝐞 significantly boosts GPT‑4o’s visual reasoning performance. Excited to see this idea incorporated into OpenAI’s o3 and o4‑mini models (openai.com/index/thinking…).