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 ...
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 ...
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 ...
Artificial intelligence is increasingly integrated into future communication networks, yet many AI models operate as opaque black boxes, raising concerns ...
Intensive care units (ICUs) face mounting pressure to effectively manage resources while delivering optimal patient care. Groundbreaking research published in the INFORMS journal Information Systems ...
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Researcher advances explainable AI for IoT security
A Nigerian-born cybersecurity researcher, Taiwo Ogunseyi, is playing a crucial role in enhancing the security of Internet-of-Things (IoT) and cyber-physical systems through the effective deployment of ...
Scientists from the Departments of Inorganic Chemistry and Chemical Engineering of the University of Malaga participated in ...
A recent study highlights that AI models can transform how we analyze and apply health data across entire populations.
Nevari earns a 2026 Global Recognition Award for its AI-first advisory model that keeps senior experts close to client work, ...
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