Unlike traditional testing, which requires hundreds or thousands of charge – discharge cycles, the model can estimate a new ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

We have attempted to develop a Fracture Line Detection System using MATLAB and its Image Processing Toolbox. The system aims to assist radiologists by processing X-ray images to automatically ...

New Delhi: Dec 6, 2025, (ANI): Speaking about National Conference on the Use of AI and Machine Learning in Power Distribution Sector, Jitendra Srivastava, Chairman & Managing Director of REC Limited, ...

James Ratcliff joined GameRant in 2022 as a Gaming News Writer. In 2023, James was offered a chance to become an occasional feature writer for different games and then a Senior Author in 2025. He is a ...

Why this is important: For years, Valve’s experiments in living-room gaming hardware, including the original Steam Machines. largely failed to establish a mainstream foothold. This launch flips that ...

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 ...

Japanese researchers employed machine learning to develop a wireless power transfer system that remains stable under any load. When you purchase through links on our site, we may earn an affiliate ...

Wireless power transfer (WPT) systems transmit electrical energy from a power source to a load without physical connectors or wires, using electromagnetic fields. This idea goes as far back as the ...

Abstract: Power transformers are critical components in ensuring the continuous and stable operation of power systems. Failures in these units can lead to significant power outages and costly downtime ...