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

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...

Machine learning models can predict the risk for developing moderate-to-severe persistent asthma and allergic rhinitis in ...

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 ...

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...

Explore how machine learning meets human style in caps designed for the AI age, blending smart design, personalization, and ...

High-entropy alloys (HEAs) are rewriting the rules of materials science, and machine learning is accelerating their design. By predicting phase stability and performance from large datasets, ...

In a piece for The Transmitter, experts weigh in on how the two disciplines are essentially trading places: neuroscience is ...

For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...

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

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

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