Union Minister Bhupender Yadav outlined a multi-pronged approach to tackle Delhi-NCR pollution, emphasizing fuel transition, ...

As more businesses incorporate AI agents into their operations, visibility and auditability around their usage is critical to building acceptance and trust. It’s increasingly apparent that the next ...

Abstract: In recent years, probabilistic data-driven methods have been gaining popularity for the study of cascading failures in power systems. These data-driven models are well-suited for analysis of ...

Theodore Kury is the Director of Energy Studies at the University of Florida’s Public Utility Research Center, which is sponsored in part by the Florida electric and gas utilities, the Florida Public ...

As artificial intelligence reshapes global power structures, the United States may lead in cutting edge AI models and advanced computer chips, but China is advancing rapidly in an area that could ...

The 13-state electric grid operator that serves Ohio is holding its second capacity auction of the year — setting a baseline electricity cost that will get baked into consumers’ bills in June 2027. It ...

Learn how to budget and plan for an off-grid lifestyle with this detailed guide. We break down essential expenses, including solar power, water systems, and basic infrastructure, to help you achieve a ...

Max Verstappen won the Qatar Grand Prix on Monday (AEDT) to set up a final race title showdown with McLaren duo Lando Norris and Oscar Piastri. The Red Bull driver kept the wheels on his quest for a ...

Gotham FC's Surprising Run to NWSL Victory Explained Camila Ortiz discusses Gotham FC shocking everyone in the NWSL playoffs, topping elite teams, and hinting at a dynasty with smart tactics and a ...

Artificial intelligence is getting very good, very fast. Whether it's music, text, code or imagery, the time when it was reliably possible to tell the difference between AI and human outputs is ...

Abstract: Graph anomaly detection has gained significant research interest across various domains. Due to the lack of labeled data, contrastive learning has been applied in detecting anomalies and ...