Artificial intelligence and machine learning are tools that have shown great promise in helping humans make deeper connections between disparate data. This is because AI and machine learning models ...
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 ...
From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...
Thredd CTO Edwin Poot explains how explainable AI and real-time, context-aware decisioning are reshaping digital commerce and ...
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 ...
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 ...
Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...
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 ...
After training as a mathematician and physicist, Felix Wong, PhD, developed a keen interest in biology. He found the perfect fit in the lab of James J. Collins, PhD, at MIT, where he started using ...
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