A machine learning model slightly outperforms a conventional regression model at predicting which children hospitalized for asthma will be readmitted within 180 days.
Tech Xplore on MSN
Brain-inspired approach can teach AI to doubt itself just enough to avoid overconfidence
Most contemporary artificial intelligence (AI) systems learn to complete tasks via machine learning and deep learning. Machine learning is a computational approach that allows models to uncover ...
By bringing the training of ML models to users, health systems can advance their AI ambitions while maintaining data security ...
A misconception is currently thriving in the industry that one can become a Generative AI expert without learning ...
Machine learning models can predict the risk for developing moderate-to-severe persistent asthma and allergic rhinitis in ...
Urea is an extremely important chemical, especially for fertilizers. But, making urea is energy intensive and relies heavily ...
Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...
VivoSim’s NAMkind™ Intestinal Model combined with AI prediction tools yields high-accuracy results. SAN DIEGO, April 28, 2026 (GLOBE NEWSWIRE) -- VivoSim Labs, Inc. (Nasdaq: V ...
A new study comparing machine learning-based portfolio optimization with the traditional all-weather portfolio found that certain AI models, including LASSO and elastic net, delivered Sharpe ratios ...
VOLLO® product has recently been audited by STAC®, a leading benchmark authority for the finance industry.[1] The results, ...
Tufts University researchers are using AI and machine learning to more quickly identify potential narrow-spectrum antibiotics ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results