Assessing how climate change will affect different regions usually requires running a complex chain of models. While this ...

AI nuclear reactor simulation just cleared a decades-long engineering hurdle: Argonne National Laboratory has embedded a ...

Multiverse Computing SL, a startup working on technology that compresses artificial intelligence models so that they run more ...

How do tissues cope with being stretched for hours or even days? A study led by researchers at the Institute for ...

Low-temperature plasma-assisted catalysis has emerged as a promising approach for activating chemically stable molecules under non-equilibrium conditions.

A new study offers a mathematical model for predicting how water flows through a coffee puck, presenting a framework that might ultimately help baristas remove some of the guesswork involved in ...

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...

Abstract: While there exist photovoltaic (PV) forecasting methods, persistent challenges remain, such as dynamically changing working conditions, nonlinearities, limited interpretability, and ...

AI is revolutionizing how we understand complex non-equilibrium processes, including biological processes like collective cell dynamics. Traditional physics-based models often prove inadequate, as ...

In 2017, physicist Lenka Zdeborová published a commentary a in Nature Physics offering a snapshot of the use of neural networks in her field. The article had nine references. In 2019, repeating the ...