ML Cancer Diagnosis, Robot Assistants, and Watermarking Data
Journal Club
English - May 06, 2020 18:49 - 31 minutes - 35.5 MBMathematics Science Education computerscience machinelearning modelinterpretability Homepage Download Google Podcasts Overcast Castro Pocket Casts RSS feed
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Today George talks about the use of Machine Learning to diagnose Cancer from a blood test. By sampling 'cell-free-DNA' this test is capable of identifying 50 different types of Cancer and the localized tissue of origin with a >90% accuracy. Lan leads a discussion of what robots and researchers in robotics may be able to contribute towards fighting the COVID-19 pandemic. Last but not least, Kyle leads the panel in a discussion about watermarking data!