U.S. Army veteran suicides can be predicted with "moderate to good accuracy" by applying artificial intelligence (AI) to data ...

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

An interview with AMD's Frank Azor reveals the company's plans for FSR 4. It also tells us a bit more about why the GPUs were absent during CES 2025.

The integration of artificial intelligence (AI) into healthcare has opened new frontiers for improving patient care and ...

The following is a summary of “Machine learning for predicting mortality in adult critically ill patients with Sepsis: A systematic review,” published in the December 2024 issue of Critical Care by ...

ML, making wind energy the key player in fashioning a favorable future. Wind Turbine Health Monitoring (WTHM) is typically ...

Netflix has introduced a significant enhancement to its Metaflow machine learning infrastructure: a new Config object that ...

Computer vision programming is a rapidly growing field that empowers machines to interpret and understand the visual world, ...

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

A new study demonstrates that a first-of-its-kind platform using artificial intelligence (AI) could help clinicians and patients assess whether and how much an individual patient may benefit from a ...

Observer caught up with the artist to learn more about her explorations into how input data impacts aesthetic outcomes.

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