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

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.

Eggs are more than just a breakfast staple – they’re a global nutritional powerhouse packed with essential vitamins, minerals ...

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

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

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

EDB Postgres® AI (EDB PG AI) follows this capacity-first approach with its open data warehouse environment, WarehousePG. With ...

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

Customer churn remains a huge issue for telcos, but AI could be the key to changing that. Or, it could fail to live up to its ...

The next frontier of defense is not in the skies or at sea; it is in the cloud, in our data centers and in the invisible ...