Raja Shankar, VP of machine learning at IQVIA, discusses which AI capabilities sponsors are most likely to adopt first to ...

Ever felt a pull toward someone who’s magnetic but slightly off? It might be "dark rizz," the manipulative charm that masks ...

Mrinank Sharma’s resignation comes at a time when debates around AI risk, alignment and the societal impact of advanced ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

From Deep Blue to modern AI, how chess exposed the shift from brute-force machines to learning systems, and why it matters AI ...

Boston)—Hypermobile Ehlers–Danlos syndrome (hEDS) is one of the most common heritable connective tissue disorders. Early estimates have reported that ...

A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...

One thing to emerge from OpenClaw is Moltbook, a social network where AI agents post, comment and share information ...

Researchers at UMass Lowell have uncovered an innovative way to spot Alzheimer’s disease long before the first official ...

As AI systems begin to act, enterprises face a new crisis: how to govern decisions, risk, and compliance in a world run ...

The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV process steps, which include lithography patterning followed by deep reactive ion ...

JIANGMEN, GUANGDONG, CHINA, January 15, 2026 /EINPresswire.com/ -- The global manufacturing landscape is currently ...