Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...

Atlanta, GA, Dec. 17, 2025 (GLOBE NEWSWIRE) -- AIQuant Labs has launched DexTrader.ai, a machine learning-powered investment ...

Powerful technology that efficiently detects and accurately predicts eucalyptus tree species favored by koalas could help ...

Forests and plantations play a vital role in carbon sequestration, yet accurately monitoring their growth remains costly and labor-intensive.

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Powerful technology that efficiently detects and accurately predicts eucalyptus tree species favoured by koalas could help ecologists find the best ...

The history of AI shows how setting evaluation standards fueled progress. But today's LLMs are asked to do tasks without ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

TGT's low P/E, and improving tech and digital trends contrast with soft demand, falling estimates and cautious near-term ...

Analyzing several major pathology AI models designed to diagnose cancer, the researchers found unequal performance in ...

Apple’s newest MacBook Pro with the M5 chip launched just a few weeks ago, and while Apple’s own store maintains the full ...