Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

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

How Do AI-Driven Cybersecurity Tools Transform Non-Human Identity Management? Where technology constantly evolves, how do organizations manage the security of their non-human identities (NHIs)? These ...

Weeds pose the most persistent and costly threat to crop production in Canada, driving widespread herbicide use and accelerating the rise of herbicide-resistant species ...

Two leading professors from the University of Surrey’s School of Computer Science and Electronic Engineering have been elected Fellows of the Institute of Electrical and Electronics Engineers (IEEE), ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...

Despite advanced algorithms and automation, one truth remains: Effective cybersecurity requires a careful balance between machine precision and human judgment.

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

Insurance companies aren't experimenting with AI. They're deploying it at scale across three critical functions that directly ...

New research suggests that the way brain networks reorganize moment-to-moment predicts autism severity. Children who spent ...