The ability to predict brain activity from words before they occur can be explained by information shared between neighbouring words, without requiring next-word prediction by the brain.

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

NVIDIA showcases Neural Texture Compression at GTC 2026, cutting VRAM usage by up to 85% with real-time AI reconstruction.

A new holographic storage technique uses light in three dimensions to dramatically increase how much data can be stored. It encodes information throughout a material using amplitude, phase, and ...

Intel is advancing texture compression techniques with its newly introduced Texture Set Neural Compression (TSNC) technology, ...

Check out this new 6G semantic communication framework from Engineering! It uses explicit semantic bases to fix the flaws of ...

From yellow light logic to pothole avoidance on the roadmap, FSD v14.3 is Tesla's most ambitious supervised driving update in recent memory, and early impressions are already turning heads.The Latest ...

Owners in multiple countries are losing paid features after Tesla detects illegal activation hardware.

Researchers have developed a holographic data storage approach that stores and retrieves information in three dimensions by ...

Meta has introduced TRIBE v2 (TRImodal Brain Encoder version 2), a next-generation multimodal AI system designed to predict ...