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

University of Utah researchers have unveiled a new tool kit that uses AI to predict whether individuals will develop progressive and chronic diseases years before symptoms appear.

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

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

Ashitosh Chitnis is transforming enterprise data management by applying explainable, scalable AI solutions to eliminate silos ...

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 ...

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

Without clear insight into how AI models make decisions, businesses risk deploying tools that are unaccountable, biased or ...

Verusen launched its Explainability AI Agent to bring transparency and trust to AI-driven materials and inventory ...