Guide Labs debuts a new kind of interpretable LLM

The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...
The Lancet

Adaptive deep brain stimulation in Parkinson's disease

With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...

Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

As worms and jellyfish wriggle, new AI tools track their neurons

Understanding the connection between behavior and brain cell activity is a major goal of neuroscience. To make progress, neuroscientists often choose simple, transparent lab animals because it's ...
EDN

A real-world approach for AI-driven semiconductor manufacturing

Combine scalable analytics with advanced AI capabilities like LLMs and agentic tasks to create a new chipmaking platform.