Traditional computers can solve some quantum problems

There has been a lot of buzz about quantum computers and for good reason. The futuristic computers are designed to mimic what happens in nature at microscopic scales, which means they have the power to better understand the ...

Neural networks predict forces in jammed granular solids

Granular matter is all around us. Examples include sand, rice, nuts, coffee and even snow. These materials are made of solid particles that are large enough not to experience thermal fluctuations. Instead, their state is ...

Gallium oxide crystal complexity tamed by machine learning

Researchers at the University of Liverpool, the University of Bristol, University College London (UCL), and Diamond Light Source have developed new understanding of gallium oxide by combining a machine-learning theoretical ...

Blood pressure e-tattoo promises continuous, mobile monitoring

Blood pressure is one of the most important indicators of heart health, but it's tough to frequently and reliably measure outside of a clinical setting. For decades, cuff-based devices that constrict around the arm to give ...

Using 'counterfactuals' to verify predictions of drug safety

Scientists rely increasingly on models trained with machine learning to provide solutions to complex problems. But how do we know the solutions are trustworthy when the complex algorithms the models use are not easily interrogated ...

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