A ring in space, at least on paper, can do something a black hole cannot. It can connect distant regions without forcing ...

Imagine a clock that doesn’t have electricity, but its hands and gears spin on their own for all eternity. In a new study, physicists at CU Boulder have used liquid crystals, the same materials that ...

The human brain, with its billions of interconnected neurons giving rise to consciousness, is generally considered the most powerful and flexible computer in the known universe. Yet for decades ...

Exponential growth in big data and computing power is transforming climate science, where machine learning is playing a critical role in mapping the physics of our changing climate. "What is happening ...

STOCKHOLM (AP) — Two pioneers of artificial intelligence – John Hopfield and Geoffrey Hinton – won the Nobel Prize in physics Tuesday for helping create the building blocks of machine learning that is ...

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real-time process monitoring ...

Machine learning models are being used more and more widely. However, they need a lot of training data to deliver good results. In industrial applications, this wealth of data is often not available ...

Combining concepts from statistical physics with machine learning, researchers at the University of Bayreuth have shown that highly accurate and efficient predictions can now be made as to whether a ...

Don’t know your convolutional neural networks from your boosted decision trees? Symmetry is here to help. It’s time for some deep learning. Check out this list to pick up some new terminology—and ...