Testing a machine learning approach to geophysical inversion

A common problem in the geosciences is the need to deduce unseen physical structure based on limited observations. For instance, a ground-penetrating radar observation attempts to infer underground structure without any in ...

Entanglement unlocks scaling for quantum machine learning

The field of machine learning on quantum computers got a boost from new research removing a potential roadblock to the practical implementation of quantum neural networks. While theorists had previously believed an exponentially ...

All-optical computing based on convolutional neural networks

In a new publication from Opto-Electronic Advances the research group of Professor Xiaoyong Hu and Professor Qihuang Gong from School of Physics, Peking University, China, propose a new strategy to realize ultrafast and ultralow-energy-consumption ...

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