The amyloid-β feedback loop and pathogenesis of Alzheimer's disease
when aggregates form, the shift from protecting/building synapses to destroying them @jclinicalinvest https://
jci.org/articles/view/
200393
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MACHINE LEARNING
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AI Reveals Amyloid-Beta Feedback Loop in Alzheimer’s Pathogenesis
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LLMs as Brainstorming Partners for Scientific Discovery and Innovation
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Evaluating the potential of LLMs to help with scientific discovery. In short: new ideas are direly needed to move AI towards invention. LLMs can be useful as brainstorming partners though.
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Emotion-Based AI Transforms Computer Vision and Robotics Interactions
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Emotion-based AI is a key differentiator in the new wave of computer vision and robotics, making interactions more natural and personalized while still protecting privacy and ethics. Source @Gartner_inc Link https://
gtnr.it/3KasVBM via @antgrasso #AI #ArtificialIntelligence -
Deep Reinforcement Learning for Multi-Agent Robot Coordination
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Deep Reinforcement Learning for Multi-Agent Coordination Multi-agent reinforcement learning doesn't scale. The default approach to coordinating robot teams remains explicit communication or centralized training. This is inefficient. On the other hand, social insects solve this
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Stanford’s Coordination Layer Theory Challenges LLM AGI Bottleneck
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Are LLMs a dead end for AGI? Stanford's Edward Y. Chang argues the bottleneck isn't the model, but a missing "coordination layer." The new theory (UCCT) sees reasoning as a phase transition, moving from simple pattern-matching to goal-directed thinking. He built MACI, a
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MathWorks Showcases AI Embedded Systems for Smart Vehicles
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Join MathWorks at #CES2026! See how we’re driving smarter, safer, more connected vehicles at Booth 4477: AI for Embedded Model-Based SDV Design Simulink Virtualization Digital Twins w/ Databricks Meet our experts: https://
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Fine-tuning LLMs: The Continued Focus on Reinforcement Learning
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Their hit was fine-tuning LLMs (“RL”), and this is still that. (Even CoT came from Google.)
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Symmetry-Based Learning: ICLR 2014 Invited Talk
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See my ICLR-2014 invited talk on symmetry-based learning:
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Judging YouBuildChallenge hackathon: describe ideas, get apps, $10K+ prizes
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I’m judging the #YouBuildChallenge hackathon (Dec 16–22).
— Robert Scoble (@Scobleizer) 19 décembre 2025
The premise is simple: describe what you want to build, and @YouWareAI turns it into a working app.
$10K+ in prizes.
YouWare is rethinking how software gets created—shifting from writing code to expressing creativity.… https://t.co/O43j3lXImgI’m judging the #YouBuildChallenge hackathon (Dec 16–22). The premise is simple: describe what you want to build, and @YouWareAI turns it into a working app. $10K+ in prizes. YouWare is rethinking how software gets created—shifting from writing code to expressing creativity.
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Poor Generalization in AI: Exploiting Symmetries as Solution
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The #1 problem in AI is poor generalization, and the #1 solution is exploiting symmetries.