Artificial intelligence can use brain recordings from a single night in a sleep lab to predict a person's risk of developing ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

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

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

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 ...

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...

The core challenge is estimating the relationship between AI and productivity, says Erik Lundh of The Conference Board.

This is a guest post by Tim Allen, principal engineer at Wharton Research Data Services at the University of Pennsylvania, a member of the Readers Council and an organizer of the Philadelphia Python ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...