Browsing: Researchers

Agentic LLMs often fail the same way, again and again. A Stanford research team traced this to missing, reusable capabilities. Their system, TRACE, diagnoses those gaps…

Could laughter do more than lift your mood?Researchers at King’s College London have launched a “Laughter Lab” to explore whether laughing can help people with chronic…

A team of researchers from Meta, Stanford University, and the University of Washington have introduced three new methods that substantially accelerate generation in the Byte Latent…

Battery-free metal tags generate ultrasonic signals when objects move nearbyDifferent disk shapes create unique sound signatures that identify tracked actionsSimulation tools produced hundreds of tag designs…

Understanding audio has always been the multimodal frontier that lags behind vision. While image-language models have rapidly scaled toward real-world deployment, building open models that robustly…

Researchers from Meta AI and the King Abdullah University of Science and Technology (KAUST) have introduced Neural Computers (NCs) — a proposed machine form in which…

Long-chain reasoning is one of the most compute-intensive tasks in modern large language models. When a model like DeepSeek-R1 or Qwen3 works through a complex math…

The team aims to find out what it is about the Isle of Wight that makes people feel better.

Studies find AIs are increasingly misbehaving on agentic tasksTop AI models have been lying, cheating, and ignoring instructionsIt seems the problematic actions are becoming more commonMany…

Social media users have reported that their AI agents and chatbots lied, cheated, schemed — and even manipulated other AI bots — in ways that could…