Minimalist machine learning

‘Minimalist machine learning’ algorithm analyzes complex microscopy and other images from very little data

March 16, 2018

Key tool for Chan-Zuckerberg-sponsored Human Cell Atlas project Mathematicians at Lawrence Berkeley National Laboratory (Berkeley Lab) have developed a radical new approach to machine learning: a new type of highly efficient “deep convolutional neural network” that can automatically analyze complex experimental scientific images from limited data.* As experimental facilities generate higher-resolution images at higher speeds, scientists struggle to manage and analyze the resulting … more…