Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
The National Health Authority (NHA), in collaboration with the ICMR–National Institute for Research in Digital Health and Data Science (ICMR–NIRDHDS) and Indian Institute of Technology Kanpur ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
AZoCleantech on MSN
New framework for predicting TAIs in hydrogen combustion
Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving real-time monitoring and combustion safety.
Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...
Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...
Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Maintaining cellular order is a major logistical challenge: Individual mammalian cells contain billions of protein molecules, ...
The third-ranking leader in the House of Representatives, who also happens to hail from Minnesota, demanded answers from Gov. Tim Walz after a YouTuber tried to confront employees of an alleged ...
Knowledge Graph, Large Language Model, BERT, Knowledge Management, Small and Medium-Sized Enterprises, Accounting, Supply Chain Management Zheng, Y. (2026) Knowledge Graph Application in KM for ...
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