When the Francis Scott Key Bridge collapsed in Baltimore earlier this year, Bayer quickly received an alert that 168 of its shipments would be affected by the disruption in the port. In March 2020, ...

In a recent IEEE Transactions on Neural Systems and Rehabilitation Engineering study, researchers discuss the development of an automated system using machine learning (ML) algorithms that can ...

Popular flight-tracking app Flighty is releasing a new version on Tuesday that uses machine learning and aviation authority data to provide early warnings of delays and give users the exact reason ...

Explore how machine learning enhances energy monitoring in smart homes with CEO Mike Phillips from Sense. This interview ...

Blood samples of patients infected with a parasitic worm that causes schistosomiasis contain hidden information that marks different stages of the disease. In our recently published research, our team ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Southern California Edison’s service area contains over 1.4 million power poles, some of which are decades old. Monitoring these assets and their conditions has been challenging. Although utilities ...

Sodium (Na) metal anodes offer high capacity and low cost, making them promising for high-energy-density batteries, but their unstable solid electrolyte interphase (SEI) leads to dendrite growth and ...

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 ...