📖 Our paper “Thousand-Brain Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference” is now published in Neural Computation! Read more about how Monty works, its capabilities, and advantages over transformers: direct.mit.edu/neco/article...
Wow, what a capture!
Dr. Levin’s nature photography always brings a smile, and some random visitors, too. Stay tuned…
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Elegant new paper…
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Fascinating read. Thanks Manuela! ✨😊✨
Nice and thoughtful read…
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Abstract. Current AI systems achieve impressive performance on many tasks, yet they lack core attributes of biological intelligence, including rapid, continual learning, representations grounded in se...
I encountered an Electric Flame Scallop exhibiting its illusory method of warding off predators by shimmering its mantle, giving the impression it is electric.
#marinelifephotography #marinelife #wildlifephotography #wildlife #naturephotography #nature #eastcoastkin #photography
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🚨 New Paper Drop 🚨
We’ve released “Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning & Inference” — the first working implementation of a thousand-brains system, code-named Monty.
👇 Dive into the full thread 🧵
arxiv.org/abs/2507.04494
#naturephotography #infrared
Excellent work by Roark Chao and the UCSB team on their recent publication in Optica Express⚡️. These new microLED designs represent a major step forward for the future of data centers and display technology.
Read more below👇
bit.ly/4sejwcL
Bring your family, friends and pupils to join us for a fun day of science! @compscitsui.bsky.social @alomshaha.bsky.social
DeBarra Shaw
DeBarra Shaw
DeBarra Shaw
Video
My book 'Artificial Humanities' was reviewed in AI & Society!
The review calls the book “the most sustained and theoretically rigorous account to date” of how humanistic knowledge shapes AI, and describes it as a “timely and foundational work.”
link.springer.com/article/10.1...
Deadline is one week away! Submit your concepts for the first cohort of Long Now Labs —from reimagining deep time to new methods for discerning truth, we want to hear from you.
Submissions close on June 5. Apply here: longnow.org/labs/001/
Video
Thousand Brains Project
JBGarrity Photography
Mike Levin
UCSB Electrical and Computer Engineering Department
Yanlan Mao
Study demonstrates a new micro–light-emitting diode (microLED) design that improves both efficiency and beam directionality.
Geometry & bacteria!
"The general principles responsible for bacterial organization at the collective level are unclear. This work shows that large-scale pattern formation among diverse bacteria is explained by geometric ordering [...]."
🧪 #Science #Biology #Mathematics
www.pnas.org/doi/10.1073/...
Really excited to have this paper published 🚀 We built a new type of AI, based on principles of the neocortex 🧠, and observed a range of advantages, from extreme energy and data efficiency to continual learning, OOD generalization, and robustness. Check out the paper!
🔬🌟 Discover, experiment and explore! Join the UCL Life Sciences Science Fair on 13 June 2026 — hands‑on science, demos and short talks, free for everyone.
Register: https://bit.ly/4nb5erL
#UCLScienceFair #LifeSciences #STEM
Nina Beguš
Humanoid robots are heading into homes with elderly residents, kids, pets, and clutter. The ISO safety standard is being updated for the first time in 12 years—but researcher Jae-Seong Lee says it still doesn't answer the hardest question: whose behavior counts as "normal"?
The Long Now Foundation
#UCSB research has found that new LED designs the size of a human hair could replace lasers. This new microLED design improves both efficiency and beam directionality.
"We’re talking about devices that are literally the size of a hair follicle."
Full story: https://ow.ly/49HV50YkvgO
📖 Our paper “Thousand-Brain Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference” is now published in Neural Computation! Read more about how Monty works, its capabilities, and advantages over transformers: direct.mit.edu/neco/article...
UCL Faculty of Life Sciences
Viviane Clay
UC Santa Barbara
IEEE Spectrum
Abstract. Current AI systems achieve impressive performance on many tasks, yet they lack core attributes of biological intelligence, including rapid, continual learning, representations grounded in se...
