Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...
Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
According to a new study published in JAMA Network Open, exposure to fine particulate matter air pollution during the early ...
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.
A new study published in the Journal of the American Medical Association found that exposure to fine particulate air ...
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 ...
Microsoft and Bristol Myers Squibb have signed a new pact aimed at identifying lung cancer cases more quickly. | Microsoft ...
New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...
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DeepSeek proposes shift in AI model development with 'mHC' architecture to upgrade ResNet
The paper comes at a time when most AI start-ups have been focusing on turning AI capabilities in LLMs into agents and other products DeepSeek's latest technical paper, co-authored by the firm's ...
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