Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...
AI autoscaling promises a self-driving cloud, but if you don’t secure the model, attackers can game it into burning cash or ...
Guwahati have developed a predictive framework that has identified 492 locations where glacial lakes are likely to form in ...
Today, we’re kicking off a series that digs into 2026 projections by taking a look at what they say about the Red Sox starting staff. I looked at three systems: Steamer: Created and maintained by ...
Researchers from the Indian Institute of Technology (IIT) Guwahati have developed a predictive framework that has identified ...
Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a highly prevalent chronic liver condition globally, with its management spanning ...
Among these, the research team found the Bayesian Neural Network (BNN) to be the most accurate and showed that certain earth features, such as neighbouring lakes, cirques, gentle slopes, and ...
Post-2020, highly pathogenic avian influenza H5 circulation is characterised by spatially expanded ecological suitability, changes in key environmental predictors, and a wider range of avian species ...
A team of Hong Kong scientists has developed an artificial intelligence weather-forecasting system to predict thunderstorms and heavy downpours up to four hours ahead, compared with the range of 20 ...
Researchers have developed a new artificial intelligence-based modeling tool that can accurately predict how infectious ...
When families decide where to buy a home, when cities approve new development, or when governments decide where to invest ...
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