More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...

The first capabilities in ZEDEDA Edge Intelligence Platform is Edge Inference Services, which enables organizations to deploy, validate and operate AI models across diverse edge hardware at the same ...

Microgrids are now regarded as compelling solutions to the modern demands of the energy sector, pushed on by firms like ABB, Siemens and S&C Electric ...

The convergence of AI‑driven demand and widespread electrification is redefining what the grid must do and how it must operate.

Nexar, a leader in AI-powered mobility solutions and one of the largest distributed vision networks on U.S. roads, and Vay, a leading provider of automotive-grade remote driving technology, today ...

Cybersecurity emerges as a critical concern. As digitalization expands, energy infrastructures become more exposed to cyber threats. AI can strengthen security by detecting anomalies and automating ...

Everyone is talking about what AI can do. Far fewer are talking about what happens when it goes wrong in a place where ...

Microdramas, predictive modeling and generative AI are moving audience data upstream — reshaping how stories are imagined, financed and greenlit across Hollywood ...

Amid today’s complex, tightly integrated AI-driven landscape, the ability to stay ahead of the curve rests on a clear ...

Right now, rather than asking whether or not to adopt edge artificial intelligence, the crucial question for most companies is how to do so without creating new security, cost and governance issues.

The global payments ecosystem is undergoing a fundamental transformation. For decades, transaction security relied on static rules and reactive fraud detection. Today, artificial intelligence is ...