Machine learning & AI

Scientists automate core box image recognition

Skoltech researchers have trained a neural network to recognize rock samples in core box images efficiently. It sped the analysis process by up to 20 times and made it possible to automate the description of rock samples. ...

Automotive

Extra 'eye' movements are the key to better self-driving cars

Andrea Benucci and colleagues at the RIKEN Center for Brain Science has developed a way to create artificial neural networks that learn to recognize objects faster and more accurately. The study, recently published in the ...

Computer Sciences

New deep learning techniques lead to materials imaging breakthrough

Supercomputers help researchers study the causes and effects—usually in that order—of complex phenomena. However, scientists occasionally need to deduce the origins of scientific phenomena based on observable results. ...

Computer Sciences

A graph convolution machine for context-aware recommender systems

The latest advance in recommendation technology shows that better user and item representations can be learned via performing graph convolutions on the user-item interaction graph. However, such a finding is mostly restricted ...

Energy & Green Tech

Turning old into new: A second life for vehicle components

A huge number of used parts end up in the scrap yard for recycling every year. It is far more resource-efficient, however, to remanufacture alternators, starters and the like as part of a recirculation approach. This reduces ...

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