Originally published in Raconteur, Dec 10, 2020. From facial recognition technology that monitors brown bear populations, to intelligent robots sorting recycling, these initiatives are having a positive impact on the environment. 1. Conserving species The Living Planet Index produced by WWF estimates that wildlife population sizes have dropped by 68 per cent since 1970. The
Originally published in Anomalo, Dec 2, 2020. Airbnb has always been a data driven company. Back in 2015, they were laying the foundation to ensure that data science was democratized at Airbnb. Meanwhile, they have grown to...
Originally published in MIT Technology Review, Nov 18, 2020. The process used to build most of the machine-learning models we use today can’t tell if they will work in the real world or not—and that’s a problem....
Originally published in Forbes, Nov 23, 2020. The most obvious way that artificial intelligence (AI) can impact retailers is to help consumers choose the right products when they shop. But there’s another less apparent way that AI...
Originally published in Reuters, Nov 9, 2020. TBILISI (Thomson Reuters Foundation) – When Anna Kuznetsova saw an ad offering access to Moscow’s face recognition cameras, all she had to do was pay 16,000 roubles ($200) and send...
Originally published in The Wall Street Journal, Nov 3, 2020. AI systems can unfairly penalize certain segments of the population—especially women and minorities. Researchers and tech companies are figuring out how to address that. As artificial intelligence...
Originally published in The Verge, Nov 3, 2020. The retail giant has ended a contract with Bossa Nova Robotics. Retail robots that can scan shelves and update inventory have been one of the most visible faces of...
Originally published in IEEE Spectrum, Nov 4, 2020. Based on a cellphone-recorded cough, machine learning models accurately detect coronavirus even in people with no symptoms. Again and again, experts have pleaded that we need more and faster...
Originally published in The Verge, Nov 20, 2020. AI researchers sometimes refer to machine learning technology as “brittle.” By this, they mean that artificial intelligence lacks a human’s understanding of real world complexities, with the end result...
Originally published in DoorDash Engineering 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...
