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