Authors: George Rajna
To overcome these harsh limitations, the researchers exploited an artificial neural network (ANN) to learn the atomic interactions from quantum mechanics.  A new tool is drastically changing the face of chemical research-artificial intelligence. In a new paper published in Nature, researchers review the rapid progress in machine learning for the chemical sciences.  A new type of artificial-intelligence-driven chemistry could revolutionise the way molecules are discovered, scientists claim.  Tired of writing your own boring code for new software? Finally, there's an AI that can do it for you.  Welcome to Move Mirror, where you move in front of your webcam.  Understanding how a robot will react under different conditions is essential to guaranteeing its safe operation.  Marculescu, along with ECE Ph.D. student Chieh Lo, has developed a machine learning algorithm-called MPLasso-that uses data to infer associations and interactions between microbes in the GI microbiome.  A team of researchers from the University of Muenster in Germany has now demonstrated that this combination is extremely well suited to planning chemical syntheses-so-called retrosyntheses-with unprecedented efficiency.  Two physicists at ETH Zurich and the Hebrew University of Jerusalem have developed a novel machine-learning algorithm that analyses large data sets describing a physical system and extract from them the essential information needed to understand the underlying physics. 
Comments: 39 Pages.
[v1] 2019-01-02 09:40:49
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