Scientists can’t test each such combination, and therefore, it is very challenging to create materials and alloys with ...

University of Utah researchers have unveiled a new tool kit that uses AI to predict whether individuals will develop ...

Using explainable AI – a machine learning approach that focuses on making AI systems more transparent and understandable to ...

Healthcare is undergoing a foundational shift, moving from a reactive, siloed approach to a proactive, networked and smart ...

Read about Vibrint's acquisition of Ampsight to expand its capabilities in explainable AI, cloud, cybersecurity and other tech areas.

One of the most notable trends highlighted in the study is the shift toward lightweight AI models optimized for execution in ...

Google’s AI models are learning to reason, wield agency, and build virtual models of the real world. The company’s AI lead, ...

The core problem tackled by this research is the opaque nature of many high-performing AI models used in fraud detection.

Found in knee replacements and bone plates, aircraft components, and catalytic converters, the exceptionally strong metals known as multiple principal element alloys (MPEA) are about to get even ...

As artificial intelligence (AI) transforms healthcare, organizations face unprecedented opportunities-and risks. From ...

To stay competitive, the U.S. should evaluate AI tools like large language models based on performance, not explainability.