Personalized approaches informed by physiological data could revolutionize areas like workforce training, mental health ...

Today’s machine-learning algorithms simplify labor-intensive tasks like bid management and lead scoring while simultaneously ...

AI can compare thousands of images to uncover dangerous patterns, create ultra-high resolution scans from low-res images and ...

TrialTranslator uses machine learning to assess cancer RCT generalizability, revealing survival gaps for high-risk patients ...

By integrating AI, software engineers are building systems that can learn, adapt, and evolve, making software more resilient ...

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ.

In the case of Microsoft and AI, that's not something being considered, as the software giant plans on spending $80 billion ...

A University of Alberta research team has successfully used machine learning as a tool for earlier detection of attention ...

Innovative graphene-based solar absorber design with Al, TiN, and Fe layers shows over 95 % absorbance, enhanced by machine ...

Managing expenses effectively is crucial to maintaining financial integrity. However, the rise in fraudulent expense claims ...

Arduino is partnering with chip startup Axelera to bring machine learning out of the cloud and into IoT devices based on its ...