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.

We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...

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

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 ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

Unity Software Inc. (NYSE:U) is one of the Unstoppable Technology Stocks to Buy. On December 17, Clark Lampen from BTIG ...

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 ...

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