Authors: George Rajna
"Machine learning will be super-useful in figuring out the important design parameters for a transition metal complex that will make each step in that process energetically favorable."  A research team at The University of Tokyo has developed a powerful machine learning algorithm that predicts the properties and structures of unknown samples from an electron spectrum.  Researchers have mathematically proven that a powerful classical machine learning algorithm should work on quantum computers.  Researchers at Oregon State University have used deep learning to decipher which ribonucleic acids have the potential to encode proteins. 
Comments: 46 Pages.
[v1] 2019-08-02 06:29:28
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