Discover how machine learning is reshaping chemical manufacturing—from optimizing reactions and reducing waste to ...

Mark Maker creates its logos by breaking each design in half, so that it contains both a base design and an accent element. The example Mark Maker’s creators use is the Mobil logo, which ...

The company also plans to tackle other types of image data, including industrial design -- 3D drawings that represent a new object or structure. "We have to get user data to understand when people ...

"We used bioinformatics tools to analyze large gene datasets, focusing on genes active in rheumatoid arthritis and osteoporosis," said Lo. "We applied machine learning techniques, such as Lasso ...

The usefulness of machine learning has mass potential, from real-time fraud detection to AI-powered investment strategies. Many of these innovations can entirely change how banks, investors and ...

A company’s logo is an important part of its identity, but the process behind defining, registering and protecting these trademarks is a convoluted and rather archaic one. A startup called ...

Please use one of the following formats to cite this article in your essay, paper or report: APA. Sidharthan, Chinta. (2025, January 01). Machine learning reveals how metabolite profiles predict ...

Machine learning is a promising technology for improving the customer experience. Why? It’s simple: because it can predict customer behaviors. Prediction as a capability is the Holy Grail for ...

The RIT computing and information sciences Ph.D. student enjoys creating educational videos about machine learning and data science on his Normalized Nerd YouTube channel. His explainers are geared to ...

A recent study published in npj Materials Degradation introduces a two-stage machine learning (ML) framework that predicts the degradation of protective coatings under various environmental conditions ...

For metallic alloys in aerospace, machine learning can make the development of additive manufacturing (AM) processes both faster and cheaper. In collaboration with the University of Sheffield Advanced ...

Because algorithms, machine learning and AI are pretty much baked into our lives at this point. Related links: More insight from Kimberly Adams.