Machine learning to boost wireless power The new technique uses machine learning to model and optimize less load-dependent power transfer systems. The process involves building a virtual model of the ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions -- but there is always room for improvement. A new paper showcases the power of scalable protein ...

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 ...

Seasoned manufacturing professionals know the assets that make their products – the assembly robots, CNC machines, and conveyor belts – are just as important as the final products themselves. These ...

The convergence of artificial intelligence and digital twin technology is emerging as a transformative solution, enabling power producers to shift from static control systems to dynamic, ...

AI data centers feature extremely high power densities, with loads that can ramp up or down within seconds, creating significant challenges for power system stability. Power quality issues such as ...

We are moving toward an economic system in which software and devices transact with one another without human involvement. Instead of simply executing transactions, machines will be able to make ...

This illustration draws a parallel between quantum state tomography and natural language modeling. In quantum tomography, structured measurements yield probability outcomes that are aggregated to ...

Large language models (LLMs) and other neural networks draw substantial power when processing complex artificial-intelligence (AI) and machine-learning (ML) workloads. Designed for traditional server ...

We report on innovations in artificial intelligence and explore how businesses can take advantage of machine learning, robotics, task automation, and other AI technologies.