Scientists developed a machine-learning tool that can teach itself, with minimal external guidance, to differentiate between aerial images of flowering and nonflowering grasses—an advance that will greatly increase the pace ...
Genome editing has advanced at a rapid pace with promising results for treating genetic conditions—but there is always room for improvement. A new paper by investigators from Mass General Brigham showcases the power of scalable ...
When chemists design new chemical reactions, one useful piece of information involves the reaction's transition state—the point of no return from which a reaction must proceed.
A study published in Physical Review Letters outlines a new approach for extracting information from binary systems by looking at the entire posterior distribution instead of making decisions based on individual parameters.
A research team led by Prof. Mao Miaohua at the Yantai Institute of Coastal Zone Research of the Chinese Academy of Sciences, has developed a method for predicting storm surges. This innovative approach enhances the quality ...
A new study in Human Gene Therapy describes a machine learning (ML) model that can be used as a surrogate for laborious in vitro experiments. This in silico approach aims to increase the fitness of clinical adeno-associated ...
From the Japanese cypress to the ponderosa pine, wood has been used in construction for millennia. Though materials like steel and concrete have largely taken over large building construction, wood is making a comeback, increasingly ...
A research team from the Institute of Statistical Mathematics and Panasonic Holdings Corporation has developed a machine learning algorithm, ShotgunCSP, that enables fast and accurate prediction of crystal structures from ...
Using artificial intelligence shortens the time to identify complex quantum phases in materials from months to minutes, finds a new study published in Newton. The breakthrough could significantly speed up research into quantum ...
The process of discovering molecules that have the properties needed to create new medicines and materials is cumbersome and expensive, consuming vast computational resources and months of human labor to narrow down the enormous ...
