Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

A Queen’s research team has developed a new way to train AI systems so they focus on the bigger picture instead of specific, ...

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 ...

If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...

Willpower is not purely a personality trait. Aging, obesity, insulin resistance, and inflammation may impair frontal brain ...

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron ...

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 ...

The term has left the industry divided, with definitions shaped as much by marketing as by technical consensus.