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Tag: machine learning

With Little Training, Machine-Learning Algorithms Can Uncover Hidden Scientific Knowledge

Photo - From left to right: Vahe Tshitoyan, Anubhav Jain, Leigh Weston, and John Dagdelen were among the participants in a text-mining project that used machine learning to analyze 3.3 million abstracts from materials science papers. (Credit: Marilyn Chung/Berkeley Lab)

Berkeley Lab Researchers Use Machine Learning to Search Science Data

Image - A screenshot of image-based results in the Science Search interface. In this case, the user performed an image search for nanoparticles. (Credit: Gonzalo Rodrigo/Berkeley Lab)

Digging Deep: Harnessing the Power of Soil Microbes for More Sustainable Farming

Teaching Computers to Guide Science: New Machine Learning Method Sees the Forests and the Trees

Berkeley Lab ‘Minimalist Machine Learning’ Algorithms Analyze Images From Very Little Data

Slice of mouse llymphoblastoid cells. Raw data (a): corresponding manual segmentation (b) and output of an MS-D network with 100 layers (Data from A.Ekman, C. Larabell, National Center for X-ray Tomography)

Applying Machine Learning to the Universe’s Mysteries

Image - The colored lines represent calculated particle tracks from particle collisions occurring within Brookhaven National Laboratory’s STAR detector at the Relativistic Heavy Ion Collider, and an illustration of a digital brain. The yellow-red glow at center shows a hydrodynamic simulation of quark-gluon plasma created in particle collisions. (Credit: Berkeley Lab)

New Machine Learning Technique Provides Translational Results