The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.

AI factories meet the computational capacity and power requirements of today’s machine-learning and generative AI workloads.

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Machine learning decodes brain signals for paralysis recovery in just one second using sensors placed on scalp not inside ...

Along with the Cross Training equipment, Peloton launched Peloton IQ, its new AI software that gives members a more ...

Larian Studios will no longer be using any AI or machine learning tools for concept art of writing in the upcoming 'Divinity' ...

As global carriers in aggressively pursue AI-driven automation, U.S. operators require architectural frameworks that enable innovation and manage infrastructure.

Why is a Chinese quant shop behind one of the world’s strongest open-weight LLMs? It turns out that modern quantitative ...

According to the Allen Institute for AI, coding agents suffer from a fundamental problem: Most are closed, expensive to train ...

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a highly prevalent chronic liver condition globally, with its management spanning ...

First days at a new job can certainly be intimidating. New employees are bombarded with policies, systems, faces, and expectations, all while attempting to locate the coffee machine. It’s exactly […] ...