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DOE OSTI · 1783515

Deep ML for inference from indirect measurements

Hickmann, Kyle Scott
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Abstract

The magic of deep machine learning (DML): Neural networks that can beat Go grandmasters. Networks that have better than human accuracy at classifying images in over 100 categories. Making still pictures move realistically. Super-resolution versions of very old film clips. Realistic, high-resolution, images of people that have never existed. Realistic insertion of people into video clips. Network generated music and writing that passes for human created. How can this technology be leveraged for physics and engineering?

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BibTeXRIS

Hickmann, Kyle Scott. 2021-05-18. Deep ML for inference from indirect measurements. https://doi.org/10.2172/1783515

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