A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

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, ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

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

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

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 ...

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

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

AMD’s next-generation Zen 6 CPU architecture has quietly made its first appearance through an internal developer document, ...

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 ...