Aug. 21, 2022, 3:32 a.m. | Roshanak Houmanfar

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Hello fellow hunters!

As a machine learning scientist, I’ve learned that there is never enough data.

Machine learning and analytics have so much promise to solve some of the world’s biggest problems - from precision medicine, to drug discovery, to energy efficiency. However, privacy, confidentiality, and technical hurdles make it hard to access all this data for training. We’ve some of these barriers with data sharing agreements, but they’re complex, hard to enforce, and slow projects down to a …

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