Originally published in Chip Huyen, Dec 27, 2020. After talking to machine learning and infrastructure engineers at major Internet companies across the US, Europe, and China, I noticed two groups of companies. One group has made significant investments (hundreds of millions of dollars) into infrastructure to allow real-time machine learning and has already seen returns
Originally published in Medium.com Feb 13, 2018. To A/B or not to A/B, that is the question Overview On the Dispatch team at DoorDash, we use simulation, empirical observation, and experimentation to make progress towards our goals;...
Originally published in Towards Data Science on Oct 26, 2020. This year, Twitter sponsored the RecSys 2020 Challenge, providing a large dataset of user engagements. In this post, we describe the challenge and the insights we had...
Originally posted to Wired.com, Oct 11, 2020. Researchers found they could stop a Tesla by flashing a few frames of a stop sign for less than half a second on an internet-connected billboard. Safety concerns over automated...
Originally published in MIT News, Oct 29, 2020. Results might provide a convenient screening tool for people who may not suspect they are infected. Asymptomatic people who are infected with Covid-19 exhibit, by definition, no discernible physical...
Originally published in Wired.com, October 2, 2020. Algorithms can help diagnose a growing range of health problems, but humans need to be trained to listen. Nurse Dina Sarro didn’t know much about artificial intelligence when Duke University...
Originally posted to DiscoverMagazine, July 24, 2020. Deep learning eats so much power that even small advances will be unfeasible give the massive environmental damage they will wreak, say computer scientists. Deep in the bowels of the...