Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

The history of AI training has been shaped by the limits of communication. For years, progress depended on placing machines ...

Only one of these patches of lunar plain can be Luna 9’s actual landing site – and there’s no guarantee that either of them ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

This article explains how machine learning shapes safety, moderation, and user experience on Girlswithlove, and what users should know when dating on algorithm-driven platforms.

IN 2021, a unit of healthcare giant Johnson & Johnson announced “a leap forward”: It had added artificial intelligence (AI) to a medical device used to treat chronic sinusitis, an inflammation of the ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

AI-powered medical devices are linked to injuries, recalls, and lawsuits as regulators struggle to oversee a fast-growing wave of artificial intelligence in healthcare.

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...