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 ...
Understanding and predicting health outcomes is crucial in the field of medicine, especially for chronic and progressive conditions such as Parkinson’s disease. As technology advances, the integration ...
Arango’s multi-model, graph-powered platform provides a unified contextual data layer that supports reasoning, transparency, and scale across AI-driven financial systems, preserving shared business ...
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 ...
Artificial intelligence is increasingly integrated into future communication networks, yet many AI models operate as opaque black boxes, raising concerns ...
Personalized medicine aims to tailor treatments to individual patients. Until now, this has been done using a small number of parameters to predict the course of a disease. However, these few ...
A team has developed an explainable AI model for automatic collision avoidance between ships. The Titanic sunk 113 years ago on April 14-15, after hitting an iceberg ...
Scientists from the Departments of Inorganic Chemistry and Chemical Engineering of the University of Malaga participated in ...
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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 ...
AI, Machine Learning & Robotics research at Drexel University's College of Computing & Informatics (CCI) explores algorithms, mathematics, and applications of artificial intelligence (AI) through ...
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