Machine learning contributes to better quantum error correction

Researchers from the RIKEN Center for Quantum Computing have used machine learning to perform error correction for quantum computers—a crucial step for making these devices practical—using an autonomous correction system ...

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, ...

Vulnerability of cloud service hardware uncovered

Field-programmable gate arrays (FPGAs) are kind of like a computer manufacturer's Lego bricks: electronic components that can be employed in a more flexible way than other computer chips. Even large data centers that are ...

Improving quantum computers

For decades, experts have predicted that quantum computers will someday perform difficult tasks, such as simulating complex chemical systems, that can't be done by conventional computers. But so far, these machines haven't ...

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