In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

Researchers are using machine learning, symbolic regression, and high-performance computing to explore and classify string ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and machine learning (ML) are making waves with how they're increasing ...

Lu is in the vanguard of a movement he refers to as “Physics-Informed Machine Learning.” It is a new way of working with data that infuses traditional data science and machine learning/ AI techniques ...

Improving hurricane modeling with physics-informed machine learning Algorithm reconstructs wind fields quickly, accurately, and with less observational data Date: November 19, 2024 Source ...

Two pioneers of artificial intelligence have won the Nobel Prize in physics for discoveries and inventions that formed the building blocks of machine learning.

PNNL intern Luis Cedillo, an undergraduate at the University of Texas El Paso, presented a conference poster at SPIE Defense and Commercial Sensing 2024 in National Harbor, Maryland, about using the ...

Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning ...