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 ...

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 ...

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

It made learning surprisingly addictive ...

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

Machines are moving beyond single-point sensing. Multi-sensor fusion now delivers vision, ranging and inertial data. The ...

AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic ...

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

Bari: “In 2026, we’re entering the modular blockchain era. Platforms like EigenLayer and Celestia are making it possible to ...

Smartphone cameras are leaning hard on AI, but is it helping or hurting image quality? I look at why hardware still matters ...

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