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#107 The Deep Learning Revolution in Space Science

DataFramed

CHAPTER

Deep Learning and Data Science Challenges

Most of our applied work, especially in computer vision is of course deep learning. We really run the whole gamut. Everything I'm going to talk about today is in the public literature. You go to Google Scholar and look up, look us up, you'll find all this stuff. So that pretty much covers our deep learning portfolio. And then on the autonomy side, we have a whole portfolio dedicated to multi agent global distributed autonomy for in that case telescope control.

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