Artificial intelligence is getting more powerful—but it's also racking up a massive energy bill. Some estimate that one ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

This new AI acts like a digital scientist, turning messy data into simple rules that explain how the world really works.

Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children's nursery, part ...

We introduce iterative retrieval, a novel framework that empowers retrievers to make iterative decisions through policy optimization. Finding an optimal portfolio of retrieved items is a combinatorial ...

Abstract: This tutorial paper focuses on safe physics-informed machine learning in the context of dynamics and control, providing a comprehensive overview of how to integrate physical models and ...

Abstract: Promptly perceiving distribution system states is challenged by frequent topology changes and uncertain power injections. To address these issues, a Meta-learning enhanced physics-informed ...

In today’s dynamic workforce, staying ahead of technological change is the key to sustained success. Meeting the pace of technological evolution is also one of the greatest challenges that ...

School of Civil Engineering, Sun Yat-sen University and Key Laboratory of the Pearl River Estuary Regulation and Protection of Ministry of Water Resources, Guangzhou 510275, PR China Center of Water ...