The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...
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.
Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...
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 ...
The cybersecurity landscape in 2026 presents unprecedented challenges for organizations across all industries. With ...
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 ...
If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...
Learning Resources v. Trump: Is the Supreme Court Ready to Grant the President “Sole Power” over the US Economy?