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

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

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 ...

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

Z Advanced Computing, Inc. (ZAC), the pioneer Cognitive Explainable-AI (Artificial Intelligence) (Cognitive XAI or CXAI) ...

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

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

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

The best wealth managers in the next decade won’t be those who rely on gut instinct, but rather the ones who utilize AI to ...

Discover how Tejasvi Addagada’s Contingency and Evolutionary Models redefine AI governance, focusing on adaptable frameworks ...