The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

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

And machine-learning is already deeply ingrained in this type of work. Shih advocates for recruiting and retaining more young people who know how to work with machine learning in physics. “We lose a ...

Open in Viewer Fig 1. Patient flow diagram. The flow diagram depicts the number of adult participants in the original data set before removal because of exclusion criteria. Omitted participants ...

U.S. Department of Energy’s (DOE) Argonne National Laboratory is helping researchers explore novel ways to design aeroplanes ...

Introduction Machine Learning (ML) stands as one of the most revolutionary technologies of our era, reshaping industries and creating new frontiers in data analysis and automation. At the heart of ...

Tiny droplets of sea spray generated at the ocean surface can affect the intensity and evolution of hurricanes and other ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation.

Diffuse correlation spectroscopy and a machine learning algorithm can provide continuous blood pressure feedback, enabling ...