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ML4Sci #3: Google Tackles Protein Folding; What can scientists learn from Computer Vision and Robotics Research; Lessons learned from Airbnb using Deep Learning; +Cool Science Highlight
What happens when a $100B tech company takes on basic science and AI problems?
Charles Yang
Feb 10
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ML4Sci #3: Google Tackles Protein Folding; What can scientists learn from Computer Vision and Robotics Research; Lessons learned from Airbnb using Deep Learning; +Cool Science Highlight
What happens when a $100B tech company takes on basic science and AI problems?
Charles Yang
Feb 10
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ML4Sci #2: Nowcasting rain forecasts from radar; graph similarities predict zeolite properties; cycle-consistent GANs for climate change visualizations;
Some more musings on slow numerical models and open-access scientific literature
Charles Yang
Feb 1
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ML4Sci #2: Nowcasting rain forecasts from radar; graph similarities predict zeolite properties; cycle-consistent GANs for climate change visualizations;
Some more musings on slow numerical models and open-access scientific literature
Charles Yang
Feb 1
1
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ML4Sci #1: Discovering new materials from abstracts; Designing diffractive metagratings with GAN's; How ML can help fight climate change; +Industry Highlight
Welcome to the inaugural issue of ML4Sci!
Charles Yang
Jan 5
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ML4Sci #1: Discovering new materials from abstracts; Designing diffractive metagratings with GAN's; How ML can help fight climate change; +Industry Highlight
Welcome to the inaugural issue of ML4Sci!
Charles Yang
Jan 5
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Welcome to ML4Sci
Hi, I’m Charles Yang. Welcome to ML4Sci, a newsletter exploring applications of machine learning to scientific problems that matter. Sign up now so you…
Jan 1
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Welcome to ML4Sci
Hi, I’m Charles Yang. Welcome to ML4Sci, a newsletter exploring applications of machine learning to scientific problems that matter. Sign up now so you…
Jan 1
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