By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Expert insights on the security challenges facing ICS, including legacy infrastructure risks, nation-state threats, ransomware, AI, and strategies to build long-term resilience.

AI-powered document processing automates data extraction, classification, and validation with 95-99% accuracyMarket projected ...

Researchers have built AI systems capable of steering targeted brain circuits in real time, moving neuroscience closer to precise, closed-loop control of neural activity. These tools pair machine ...

Silly humans, we don’t like change, even when it’s beneficial and necessary because there’s a chance new inventions might not work as well as old practices. Or, some added e ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

The field of additive manufacturing is undergoing a profound transformation as artificial intelligence (AI) and machine learning (ML) become integral to the ...

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.

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 ...