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 ...
Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, in drug discovery, ML ...
Superhydrides are materials that can store significantly more hydrogen than conventional hydrides and present a highly promising option for applications such as hydrogen storage and superconducting materials used in maglev ...
There is a concerning decline in street-level greenery in cities, raising important questions about urban resilience, climate adaptation, and environmental equity. Monitoring exactly how fast trees and other greenery are ...
Researchers have developed a machine learning model called DreaMS, which significantly accelerates the analysis of previously unknown molecules. The study is published in Nature Biotechnology.
A new study introduces choice engineering—a powerful new way to guide decisions using math instead of guesswork. By applying carefully designed mathematical models, researchers found they could influence people's choices ...
How can artificial intelligence (AI) be used to advance mapping and imaging methods on other planets? This is what a study presented at the 56th Lunar and Planetary Science Conference hopes to address as a lone researcher ...
A group of researchers, including scientists from the DTU National Food Institute, have developed a method that, with the help of artificial intelligence and DNA decoding, can predict how well disease-causing bacteria such ...
