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Using Deep Learning to Facilitate Scientific Image Analysis Posted by Samuel Yang, Research Scientist, Google Accelerated Science Team Many scientific imaging applications, especially microscopy, can produce terabytes of data per day. These applications can benefit from recent advances in computer vision and deep learning. In our work with biologists on robotic microscopy applications (e.g., to di
Posted by Chris Shallue, Senior Software Engineer, Google Brain Team (Crossposted on the Google Open Source Blog) Recently, we discovered two exoplanets by training a neural network to analyze data from NASA’s Kepler space telescope and accurately identify the most promising planet signals. And while this was only an initial analysis of ~700 stars, we consider this a successful proof-of-concept fo
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