Machine learning (ML) is transforming protein structure prediction. Algorithms can predict 3D structures from amino acid sequences, surpassing slower, more expensive traditional methods.

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 ...

"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 have now pioneered a machine learning-based simulation method that supersedes traditional electronic structure simulation techniques. Their Materials Learning Algorithms (MALA ...

In our white paper, linked below, we describe the structure of the virtual machine used in samples of Wslink and suggest a possible approach to see through the obfuscation techniques used in the ...

What resulted was that their classically bent linear shape transforms to a hexagonal, double-top structure with virtually a zero dipole moment. The report includes computational modeling of this ...

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 ...

Now, high-powered microscopy – plus a heavy dose of machine learning – is helping to change that. New computer algorithms can automatically identify some 30 different kinds of organelles and other ...