Early endeavors on the path to reliable quantum machine learning

Anyone who collects mushrooms knows that it is better to keep the poisonous and the non-poisonous ones apart. In such "classification problems," which require distinguishing certain objects from one another and to assign ...

Comprehensive electronic-structure methods for materials design

Nicola Marzari, head of the Theory and Simulation of Materials laboratory at EFPL and director of NCCR MARVEL, has just published a review of electronic-structure methods as part of a special edition Insight on Computational ...

Machine learning accelerates cosmological simulations

A universe evolves over billions upon billions of years, but researchers have developed a way to create a complex simulated universe in less than a day. The technique, published in this week's Proceedings of the National ...

Artificial intelligence beats us in chess, but not in memory

In the last decades, artificial intelligence has shown to be very good at achieving exceptional goals in several fields. Chess is one of them: in 1996, for the first time, the computer Deep Blue beat a human player, chess ...

Using neural networks for faster X-ray imaging

A team of scientists from Argonne is using artificial intelligence to decode X-ray images faster, which could aid innovations in medicine, materials and energy.

Nervous systems of insects inspire efficient future AI systems

Zoologists at the University of Cologne studied the nervous systems of insects to investigate principles of biological brain computation and possible implications for machine learning and artificial intelligence. Specifically, ...

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