Advanced algorithm to study catalysts on material surfaces could lead to better batteries
A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen on the surface of materials.
A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen on the surface of materials.
A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences has developed a machine learning (ML) framework to analyze virus filtration processes in therapeutic ...
Imagine you're sitting at a pond, listening to the din of croaking frogs. You want to know how many frogs are in the pond, but you can't pick out the individual croaks—only the combined sound rising and falling in volume ...
An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design proteins needed for new treatments.
Satellite data used by archaeologists to find traces of ancient ruins hidden under dense forest canopies can also be used to improve the speed and accuracy to measure how much carbon is retained and released in forests.
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 understanding of the most fundamental ...
A collaborative effort between Meta, Lawrence Berkeley National Laboratory and Los Alamos National Laboratory leverages Los Alamos' expertise in building tools for molecular screening capabilities. The release of "Open Molecules ...
History has a way of repeating itself. But unlike science, built on general principles and testable theories about the natural world, history examines past events and human actions using evidence and interpretation. This ...
Researchers in the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed a machine learning framework that can predict with quantum-level accuracy how materials respond to electric fields, ...
Machine learning models have seeped into the fabric of our lives, from curating playlists to explaining hard concepts in a few seconds. Beyond convenience, state-of-the-art algorithms are finding their way into modern-day ...