Artificial intelligence is becoming an increasingly visible part of modern healthcare technology. Hospitals, research institutions, and healthcare organizations are exploring ways AI systems can ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

Instead of upscaling games from lower resolutions or interpolating frames using AI, DLSS 5 applies machine learning to a game's lighting model. Nvidia calls it the ...

Telecom companies should invest in sophisticated anti-fraud tools that employ machine learning and Artificial Intelligence (AI) to enhance detection and response times while conducting regular audits ...

While satellite navigation has become an essential part of modern life, it still struggles to work reliably indoors and in ...

Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability and safety required for autonomous robotic systems ...

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough.

Financial firms that combine AI, data infrastructure, and responsible governance will lead the next era of fintech innovation and customer experience.

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

Correlation can look convincing in dashboards. Without causal analysis, organizations risk optimizing for the wrong signals.

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

The next iteration of modern warfare is here. How the US manages this new battlefield is a matter of national security.