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, ...
Overview: AI skills in 2026 require both technical understanding and the ability to apply them responsibly at work.Machine ...
"Microsoft (US), Elastic (US), MongoDB (US), Google (US), AWS (US), Redis (US), Alibaba Cloud(US), DataStax (US), SingleStore (US), Pinecone (US), Zilliz (US), KX (US ...
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 ...
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 ...
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 ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
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