That’s why in the future, she thinks, neural prostheses meant for patients with a stroke or paralysis will decode facial ...

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...

Understanding how the brain anticipates future states and transmits or reconstructs information remains a central challenge in neuroscience. This Research ...

“Emergent is growing at a pace we rarely see because it is tapping into a segment that has never been served,” said Khosla ...

The neural interface doesn’t read thoughts in a sci-fi sense, but it does translate brain signals into usable output. By ...

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

Anthropic has discovered what it calls the 'Assistant Axis,' a neural structure controlling AI persona stability, with drift ...

Achieves superior decoding accuracy and dramatically improved efficiency compared to leading classical algorithms Ra’anana, ...

Keeping models on the Assistant Axis improves AI safety Researchers from Anthropic and other orgs have observed situations in ...

Depending who you ask, AI-powered coding is either giving software developers an unprecedented productivity boost or churning ...

If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation ...

Omniscient Secures New CPT® Code for Connectomic Analysis, Validating the Clinical Utility of Brain Network Mapping ...