Researchers from the Göttingen Cluster of Excellence Multiscale Bioimaging (MBExC) have uncovered the 3D structure of the ...

A research team has used a machine learning approach to investigate the evolution of shell structure for nuclei far from the stability valley. The study, published in Physics Letters B and ...

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.

"By using machine learning to process the data ... "What we haven't really known is how different organelles and structures are arranged relative to each other -- how they're touching and ...

Researchers led by Prof. Dr. Hauke Hillen, head of the "Structure and Function of Molecular Machines" research group at the Department of Cellular Biochemistry at the University Medical Center ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery. The framework, Information-Contrastive Learning (I-Con), connects diverse ...

Here are some basic principles and methods for predicting the durability of welded structures that bear fluctuating loads. Todd Palmer, Engineering Group Leader, Taylor Machine Works, Louisville ...

Several features in particular helped the machines make their determinations ... plans to explore the development of sex-related brain structure differences over time to better understand ...