A series of papers described astonishing results from using machine learning, the technique beloved by tech giants that underpins modern AI. Applying it to data such as a country’s gross ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Vice President of AI & Quantum Computing, Paul Smith-Goodson gives his analysis of quantum machine learning models and IonQ's strategy to make it a reality.

SiMa.ai has raised $85 million in a funding round to accelerate the scale-up of its Physical AI platform, taking its total capital to $355 million.

Chemical engineering researchers have a powerful new tool at their disposal: active machine learning. In a recent perspective article published in Engineering, Kevin M. Van Geem’s research team ...

According to Franco Nori, "Machine learning can play a pivotal role in addressing large-scale quantum computation and optimization challenges.

STOCKHOLM — John Hopfield and Geoffrey Hinton were awarded the Nobel Prize in physics Tuesday for discoveries and inventions that formed the building blocks of machine learning. "This year's two ...

If A.I. could do both at the same time, all bets would be off. But, Dr. Williamson observed, there is scant motivation to understand the black box that machine learning presents.