Machine learning identifies catalyst 'sweet spot' for greener urea from waste gases

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

Machine Learning–Enabled Web Development for Manufacturing Delivers 70% Increase in User Subscriptions

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

Machine learning helps detect roars from lion collars without recording actual audio

Roaring over long distances is a key behavior of lions. They communicate within prides as well as with other animals using ...
Opinion
Tech Xplore on MSNOpinion

Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks

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 machine learning model that uses DNA methylation patterns may help identify the origin of cancers of unknown primary

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

From Tea Leaves to AI: Why Today's High-Tech Predictions Are So Dangerous

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

In bone imaging, machine learning accelerates research progress and uncovers hidden patterns

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
The American Journal of Managed Care

Machine Learning–Based Tools Predict MS Progression

Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, ...
Opinion
EurekAlert!Opinion

Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks, computer scientist says

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...