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, ...
"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 ...
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 ...
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 ...
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