🧠We are looking for enthusiastic postdoctoral researchers working at the intersection of machine learning, neuroscience, and embodied intelligence. Please help spread the word! 🚀
[WM26] J. Schmidhuber. The Neural World Model Boom. Technical Note IDSIA-2-26, 4 Feb 2026. https://t.co/yb9r7TkbDp
[WM26b] J. Schmidhuber. Simple but powerful ways of using world models and their latent space. Talk at the World Modeling Workshop, Agora, Mila - Quebec AI Institute, 4 Feb 2026. https://t.co/fzL2XGkV49 YouTube: https://t.co/ulumiG3jkk
📣Announcing 2 @NeurIPSConf papers!
"Parallelizing MCMC Across the Sequence Length": uses Newton iterations to parallelize MCMC! 🤯
But can we parallelize any nonlinear state space model?
"Predictability Enables Parallelizability": proves what systems we can parallelize. 🧵
Announcing the AAAI 2026 Workshop on Neuro for AI & AI for Neuro
Uniting researchers in AI, comp neuro, and neuromorphic engineering to explore dialogue between biology and machine learning
The call for papers is out. Deadline: October 30
Submission link below 👇
Finally, a good modern book on causality for ML: https://t.co/jsHdpOEb96 by @eliasbareinboim. This looks like a worthy successor to the ground breaking book by @yudapearl which I read in grad school. (h/t @JoshuaSafyan for the ref).
📢 Call for Papers: NeurReps 2025 ‼️‼️‼️
🧠 Submit your research on symmetry, geometry, and topology in artificial and biological neural networks.
Two tracks: Proceedings (9 pages) and Extended Abstract (4 pages).
Deadline: Aug 22, 2025.
https://t.co/A3jYmIlTVH
If you are at #COSYNE2025 today, I'm excited to suggest & self-promote work by amazing Ayesha Vermani. Poster session (Thu) 1-030:
Meta-Dynamical State Space Models for Integrative Neural Data Analysis
Also ICLR'25 manuscript: https://t.co/bKsTXSfMvJ
The unparalleled XJ Wang has written a book about the computations underlying cognition. I read a draft version and it is awesome. He is not on social media, so I am sharing it on his behalf :)