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 ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

PowerLight Technologies has completed development and testing of a new wireless power system that uses lasers to recharge ...

The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

When most of us think about artificial intelligence (AI), we envision algorithms, learning loops, and vast data models ...

Discover Taiwo Feyijimi's work at the crossroads of AI, engineering, and learning. Explore his innovative frameworks shaping ...

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 ...

James Ratcliff joined Game Rant 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 ...

Scientists in Japan have developed a new, highly efficient method for designing wireless power transfer (WPT) systems. Based on machine learning, the method enables a system to maintain stable voltage ...

From Winter Storm Blair to Hurricane Beryl in Texas and the more recent Connecticut thunderstorms, power outages from severe weather events have become an increasingly common reality across the United ...

With $1,300 in Temu-sourced batteries and a lot of determination, this dad of six—soon to be seven—built a custom solar system that powers his household of eight and protects his growing family from ...