Explore how machine learning enhances energy monitoring in smart homes with CEO Mike Phillips from Sense. This interview covers the application of AI in tracking energy use, detecting potential device ...

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 ...

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 ...

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 ...

The Nature Index 2026 Research Leaders reveal the leading institutions and countries/territories in the natural sciences, health sciences, applied sciences and social sciences, according to their ...

New York, USA - US-DATA helps companies turn raw images, videos, audio and text into high-quality datasets for training, ...

The Defiance Quantum ETF offers diversified exposure to quantum computing, AI chips, and machine learning, tracking the BlueStar Quantum Computing and Machine Learning Index. QTUM has demonstrated ...

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 ...