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

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

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

After two and a half years of work, the MLEDGE project (Cloud and Edge Machine Learning), led by Professor Nikolaos Laoutaris at IMDEA Networks, ...

AI: How does this technological revolution fit with the pharmaceutical regulators who oversee the pharmaceutical sector at ...

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

In 1854, London was struck by a devastating cholera outbreak. Public authorities responded using the best tools and scientific understanding available at the time.Disease was widely believed to spread ...

Many businesses are grappling with how to use artificial intelligence securely. There are major concerns regarding sensitive ...

This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...

Talking to oneself is a trait which feels inherently human. Our inner monologues help us organize our thoughts, make decisions, and understand our ...