Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...

Nuttida Rungratsameetaweemana is challenging a story neuroscience has told for decades. According to the conventional account ...

Animals don't experience the world passively. A hawk tilts its head to track prey. A person leans forward to read a sign.

Summary: Lip-reading is a highly demanding cognitive feat that forces the brain to decode speech by translating physical mouth movements instead of acoustic waveforms. While psychologists have long ...

Flexion Robotics has introduced Reflect v1.0, a robotics intelligence platform that enables humanoid robots ...

Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.

The biggest innovation over the last year is that inference-time scaling techniques that have been pioneered in natural language models have now come to visual language models,” said Eric Heim, chief ...

Multimodal Large Language Models (MLLMs) have made impressive progress in connecting vision and language, but they still struggle with spatial understanding and viewpoint-aware reasoning. Recent ...

Abstract: Learning and simulating the decision processes of real-world human drivers is a key research direction in autonomous driving (AD). As the core of AD, existing decision systems typically face ...

Opus 4.7's most significant improvements are in complex, long-running software engineering tasks and high-resolution image processing, with the model now accepting images more than three times larger ...