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

The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...

The Army on Tuesday announced that it is standing up a dedicated artificial intelligence and machine-learning career field ...

Overview: AI skills in 2026 require both technical understanding and the ability to apply them responsibly at work.Machine ...

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

Imagine a camera that keeps a laser pencil sharp down to a hair’s width—257 nm! New AI trick watches the tiny bright dot and nudges the stage so ...

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

IP that’s built on a RISC-V vector processing CPU. The platform has been augmented to support artificial-intelligence/machine ...

A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.

The cybersecurity landscape in 2026 presents unprecedented challenges for organizations across all industries. With ...