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

Found in knee replacements and bone plates, aircraft components, and catalytic converters, the exceptionally strong metals ...

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

博報堂ＤＹホールディングスはこのほど、AIと共存する社会のあり方を描いた動画をオンライン上に公開した。同社が2024年4月に設立した、AIの先端研究や技術開発を行う研究部門「Human-Centered AI Institute（HCAI）」のブランドムービーと位置づけている。HCAIは、AIを単なる道具ではなく、人の創造性を支援する対等なパートナーになると予想しており、このようなビジョンを明らか ...

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 ...

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

AI's increasing role in decision-making necessitates transparency to combat the 'black box' problem. Moving towards 'glass ...

A new study titled “Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations”, submitted on arXiv, explores how explainable AI (XAI) can help ...

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