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 ...

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

Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

From agentic underwriting to patent-pending risk models, Piramal Finance, a wholly owned subsidiary of Piramal Enterprises Limited, and a ...

Until now, it was not possible to determine how quickly and how high forests have grown from old satellite data. A research ...

The fast evolution of technology in the areas of Artificial Intelligence (AI), Data Analytics, and cloud computing has changed the way we measure, understand, a ...

AI could transform materials R&D. But how it does this, and how well it is adopted, is yet to be seen. Here, we take a look ...

The Security Think Tank considers what CISOs and buyers need to know to cut through the noise around AI and figure out which AI cyber use cases are worth a look, and which are just hype.

One hacked AI agent took down 50 others, proving that agentic AI needs a “DNS for trust” before autonomy turns into chaos.

By moving model runs to iPhones and Macs, Apple cuts reliance on data centers and lowers energy use, so you get quicker, ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...