Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

For safety-critical and highly regulated situations such as advanced driver assistance systems (ADAS) and automated driving ...

Matt Korda, the associate director of the Nuclear Information Project at the Federation of American Scientists, assisted USA ...

Decode the AI buzzwords you see daily. Learn 10 essential terms, such as model, tokens, prompt, context window, and ...

DARPA’s Triage Challenge tests drones and ground robots that can locate casualties, assess injuries remotely, and relay data ahead of the 2026 finale.

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

We take a look back at some of the biggest SBC stories and interviews covered on our podcast over the last 12 months.

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Under the mentorship of Ph.D. student Venkatesh Sivaraman, Ziyong Ma spent the summer developing a tool designed to help clinicians query medical databases without needing programming expertise.

NEW YORK, Dec. 4, 2025 /PRNewswire/ -- PreciseDx, the leading innovator behind PreciseBreast, a novel AI digital pathology test, announces the upcoming presentation of three abstracts that further ...

A new analysis from the Federal Reserve Bank of San Francisco examined the impact of tariffs on the economy based on historical examples, finding that the effect of import taxes on inflation and ...