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, ...

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

"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 ...

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 ...

We at CircuitDigest got to visit the facility of this Hyderabad-based manufacturer of electric propulsion solutions and get ...

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 ...

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