Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

A machine learning model slightly outperforms a conventional regression model at predicting which children hospitalized for asthma will be readmitted within 180 days.

By bringing the training of ML models to users, health systems can advance their AI ambitions while maintaining data security ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

The search for next-generation electronic materials often starts with studying the Fermi surface, which serves as a map of a ...

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 ...

The field of industrial production is increasingly dependent on materials whose origins and behaviors are intricately tied to geological processes and ...

Matt Whittle has experience writing and editing accessible education-related content in health, technology, nursing and business subjects. His work has been featured on Sleep.org, Psychology.org and ...

Researchers at Empa have developed the first fast and accurate atomic-scale simulation of amorphous aluminum oxide, a material widely used in coatings and electronics but poorly understood at the ...

Using Python, web scraping, and advanced algorithms, the solution aggregates real-time data from marketplaces to deliver ...

A new study published in the Journal of Neurology1 detailed the development of 2 machine learning–based tools that were able ...

Urea is an extremely important chemical, especially for fertilizers. But, making urea is energy intensive and relies heavily ...