SALT LAKE CITY, UTAH – Researchers at the University of Utah's Department of Psychiatry and Huntsman Mental Health Institute today published a paper introducing RiskPath, an open source software ...
Explainable AI (XAI) exists to close this gap. It is not just a trend or an afterthought; XAI is an essential product capability required for responsibly scaling AI. Without it, AI remains a powerful ...
(From left) Sanket Deshmukh, associate professor in chemical engineering, and Fangxi "Toby" Wang, research scientist in chemical engineering, discussing results of explainable artificial intelligence ...
Healthcare is a complex socio-technical system, not a purely technical environment. Clinical decisions are shaped not only by ...
A new explainable AI technique transparently classifies images without compromising accuracy. The method, developed at the University of Michigan, opens up AI for situations where understanding why a ...
Using artificial intelligence, researchers show how γ-secretase recognizes substrates - an important advance for fundamental and translational research. The γ-secretase enzyme is capable of cleaving ...
New explainable artificial intelligence toolkit (xAI Toolkit) meets customers’ increasing demand for industry-leading artificial intelligence that business users can understand Boosts decision ...
Nevari earns a 2026 Global Recognition Award for its AI-first advisory model that keeps senior experts close to client work, ...
Significant advancements in understanding the molecular and cellular mechanisms of tumor progression have been made, yet challenges remain. Traditional imaging techniques like MRI, CT, and mammography ...
Pandya Kartikkumar Ashokbhai is a computer science researcher based in Arizona, United States, working at the intersection of ...
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