How computers can learn better

Reinforcement learning is a technique, common in computer science, in which a computer system learns how best to solve some problem through trial-and-error. Classic applications of reinforcement learning involve problems ...

Computer turns into boardgame master of all it surveys

(Phys.org) -- Igniting interest in computer logic and gaming, a paper titled “Learning Games from Videos Guided by Descriptive Complexity” shows how computer systems can successfully learn how to play boardgames, ...

With spin centers, quantum computing takes a step forward

Quantum computing, which uses the laws of quantum mechanics, can solve pressing problems in a broad range of fields, from medicine to machine learning, that are too complex for classical computers.

Machine learning model sheds new light on muscle development

Life sciences have never been more digital. To learn more about life processes, biologists are collecting massive quantities of data that computer scientists analyze by means of sophisticated computational models that they ...

New research brings order to disordered proteins

Protein molecules lie at the heart of biology. Our typical understanding of proteins states that each type of protein has a specific three-dimensional shape that enables it to perform its function. This dogma is challenged ...

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