Berkeley Lab intern, Samantha Alonso tackled a challenging project at the Lab—archiving a massive collection of historical photos by using machine learning (ML) in a new way. She presented the findings in poster form at the SACNAS NDiSTEM conference last month to great excitement. This is an example … [Read more...] about Intern uses ML to solve photo archive issue
Autofocus for X-ray Crystallography: How AutoML Targets Samples at the ALS
Authors: Fengchen Liu, Jordan Jung, Shawfeng Dong, Tin Ho Published on February 10, 2022. Automated Machine Learning (AutoML) frameworks aim to automate tasks so non-experts can take advantage of machine learning on a large scale. There are a vast amount of these frameworks on the … [Read more...] about Autofocus for X-ray Crystallography: How AutoML Targets Samples at the ALS
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