Researchers at Florida Atlantic University have developed a novel AI-driven deep learning model that uses real-time video to ...

Muse has reached a major milestone with the recent launch of Muse S Athena, the first wearable to integrate clinical-grade ...

Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, P. R. China Institute of Optoelectronic Engineering, ...

Digital applications built on AI foundation models for remote sensing data are powerful enablers of ecotechnologies. They can process massive amounts of environmental data, offer real-time ... for ...

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In healthcare, the event-driven element is ideal for monitoring physiological ... close to the sensor with a spiking neural network engine and a RISC-V processor core. “Our chips allow you to analyze ...

The campaign will include the use of AI social media monitoring tools that will help the league enforce a revised code of conduct. "As part of the comprehensive plan, the WNBA is rolling out an AI ...

Remote symptom monitoring in cancer care reduces hospitalizations, enhances value-based care, and supports diverse patient populations, according to new findings. In the Enhancing Oncology Model ...

Chevron Richmond recently installed flare.IQ, a real-time, automated system that will improve the facility’s flaring performance. The technology, developed by Panametrics, a Baker Hughes business, ...

this paper is the first to use deep neural networks during the restoration step. The level of imaging quality we achieved with our imaging system can facilitate the emergence of ultralightweight ...