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

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 ...

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, ...

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 ...

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 ...

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 ...

Cursor helps developers write and understand code faster with AI support.GitHub Copilot offers real-time coding suggestions ...

Machine-learning iMAP coaching track achieves a 55% depression remission rate by personalizing lifestyle targets.

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 ...

As artificial intelligence becomes a core part of business infrastructure, the quality of training data is now one of the most important factors behind model performance. US-DATA ...