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Quantum Zeitgeist
quantumzeitgeist.com > neural-models-efficient-coding-advances-representation-tractable

Efficient Coding Advances Neural Representation With Tractable Models And Optimisation Of Similarity

Efficient Coding Advances Neural Representation With Tractable Models And Optimisation Of Similarity42+ min ago   (1129+ words) By optimising the similarity between neural responses rather than the activity itself, researchers have demonstrated that a broad range of complex neural coding problems are mathematically solvable, leading to a new understanding of how brains efficiently represent information and uniquely…...

Forbes
forbes.com > sites > johnwerner > 01/20/2026 > power-positions-and-progress-in-the-age-of-ai

Power, Positions And Progress In The Age Of AI

Power, Positions And Progress In The Age Of AI58+ min ago   (612+ words) As we enter 2026, what is the state of AI? How are these technologies being integrated into our lives? One of the fundamental questions is around control " control of the tech, control of the narrative, control of markets. To many, it…...

lesswrong.com
lesswrong.com > posts > gCdNKX8Y4YmqQyxrX > no-instrumental-convergence-without-ai-psychology-1

No instrumental convergence without AI psychology — LessWrong

No instrumental convergence without AI psychology — LessWrong1+ hour, 23+ min ago   (1280+ words) Zack M. Davis, group discussion Such arguments flitter around the AI safety space. While these arguments contain some truth, they attempt to escape "AI psychology" but necessarily fail. To predict bad outcomes from AI, one must take a stance on how…...

BIOENGINEER.ORG
bioengineer.org > fast-online-motion-planning-with-async-mpc

Fast Online Motion Planning with Async MPC

Fast Online Motion Planning with Async MPC1+ hour, 48+ min ago   (1024+ words) In a groundbreaking study published in the journal Autonomous Robots, researchers Dirckx, Bos, and Vandewal, along with their colleagues, unveil an innovative approach to motion planning through the implementation of an Asynchronous update scheme for online motion planning, particularly utilizing…...

@mit
news.mit.edu > 2026 > why-its-critical-to-move-beyond-overly-aggregated-machine-learning-metrics-0120

Why it’s critical to move beyond overly aggregated machine-learning metrics

Why it’s critical to move beyond overly aggregated machine-learning metrics2+ hour, 9+ min ago   (403+ words) MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to test whenever a model is deployed in a new setting....

Mashable
mashable.com > video > detachable-crawling-robot-hand

Video shows crawling robot hand with big 'Addams Family' vibes

Video shows crawling robot hand with big 'Addams Family' vibes2+ hour, 12+ min ago   (271+ words) Mashable is a global, multi-platform media and entertainment company. Powered by its own proprietary technology, Mashable is the go-to source for tech, digital culture and entertainment content for its dedicated and influential audience around the globe. Only a couple weeks…...

Quantum Zeitgeist
quantumzeitgeist.com > protein-learning-enhanced-accuracy-representation-achieves-adaptive-multi

Protein Representation Learning Achieves Enhanced Accuracy With Adaptive Multi-Perspective Graph Fusion

Protein Representation Learning Achieves Enhanced Accuracy With Adaptive Multi-Perspective Graph Fusion2+ hour, 25+ min ago   (866+ words) A new computational framework, MMPG, enhances protein analysis by constructing representations from physical, chemical and geometric viewpoints and intelligently combining these perspectives to improve accuracy across multiple protein-related tasks. https://quantumzeitgeist.com/wp-content/uploads/Image_fx-96-6.jpg Protein representation learning benefits greatly from graph neural networks, which…...

@insidehpc
insidehpc.com > 2026 > 01 > alcf-issues-ai-for-science-program-call-for-proposals

ALCF Issues AI for Science Program Call for Proposals, Feb. 27 Deadline

ALCF Issues AI for Science Program Call for Proposals, Feb. 27 Deadline2+ hour, 28+ min ago   (279+ words) Jan. 20, 2026 " The Argonne Leadership Computing Facility (ALCF) invites proposals for a new collaboration and development program, called APEX, designed to fast-track novel applications of AI in science. This program seeks proposals that apply AI methods in new, creative, or unconventional…...

DEV Community
dev.to > jballanc > llms-what-are-they-good-for-anyway-3p12

LLMs - What are they good for, anyway?

LLMs - What are they good for, anyway?2+ hour, 42+ min ago   (1817+ words) Take a piece of paper and on it, at the three points of an imaginary equilateral triangle, draw three dots. Looking at that piece of paper, which pair of dots is closest to each other? There is no answer. Now,…...

Northeastern Global News
news.northeastern.edu > 01/20/2026 > pinpointing-ai-bias-health-care

New research decodes hidden bias in health care LLMs

New research decodes hidden bias in health care LLMs2+ hour, 50+ min ago   (964+ words) Large language models contain racial biases that factor into their recommendations, even in clinical health care settings. Northeastern researchers found a way to signal when an LLM is using race to make a decision. Artificial intelligence is increasingly used as…...