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Israeli Attack on Rafah Home Kills at Least 18 People, Half of Them Children

Israeli Attack on Rafah Home Kills at Least 18 People, Half of Them Children
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Using AFM and Machine Learning to Classify Bulk Mechanical Properties of Impact CoPolymers

This article outlines the use of deep learning technology to measure the impact of copolymers and polymers.

Seungyoonb yuKyle kastnerEmily robertsonT nathan mundhenkYoshiyuki kubotaMr brian gallagherAlaa abdel latifRz ruoqian linJeremy howardCarar schiavonAnnam hiszpanskiBruker nano surfacesmarBrock beauchampGulcin pekkurnazLyndsey kirkZhao zhang

New method could democratize deep learning-enhanced microscopy

Loading video. VIDEO: A low-resolution time-lapse of a mitochondrial network (cell s powerhouse) inside a cancer cell (left) is enhanced using artificial intelligence (right). Inset at bottom left highlights a fission (splitting) event that. view more Credit: Salk Institute/Waitt Advanced Biophotonics Core LA JOLLA (March 8, 2021) Deep learning is a potential tool for scientists to glean more detail from low-resolution images in microscopy, but it s often difficult to gather enough baseline data to train computers in the process. Now, a new method developed by scientists at the Salk Institute could make the technology more accessible by taking high-resolution images, and artificially degrading them.

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