
Episode 15: Martín Arjovsky, INRIA, on benchmarks for robustness and geometric information theory
Generally Intelligent
How Machine Learning Can Reduce the Compression of Bidio Compressors?
The project itself was basically, how can we use machine learning to reduce the load on the bilio compressor? And what they wanted to do was a very simple which was train a predictor to say, from this number, like the compression factor. We wrote a paper on these save forty % of the compression bage. Was great. i was very lucky to work with these people in the sense that none of them were machine learning people. None of them knew much about machine learning, but they were all electrical engineers with ph bes that knew everything that is to know about withyor compression and research. So it was just a great environment for learning. This was in 20 16, 20 15
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