Originally published in ycombinator.com Recent studies by Google Brain have shown that any machine learning classifier can be tricked to give incorrect predictions, and with a little bit of skill, you can get them to give pretty much any result you want. This fact steadily becomes worrisome as more and more systems are powered by artificial intelligence —
By: Rajendra Originally published in Houseofbots.com As artificial intelligence (AI) works its way into mainstream business practices, various different applications are coming up in conversations about how to best leverage the technology. In observing these conversations, I...
Originally published in Harvard Business Review For more than 250 years the fundamental drivers of economic growth have been technological innovations. The most important of these are what economists call general-purpose technologies — a category that includes...
Originally published in Wired.com Carson Holgate is training to become a ninja. Not in the martial arts — she’s already done that. Holgate, 26, holds a second degree black belt in Tae Kwon Do. This time it’s...
Originally published in The New Yorker Editor’s note: Keep in mind that the high “accuracies” such as 81%, as reported by this research up front, are misleading. The model is effective, with a lift around 7 at...
Originally published in Medium Introduction Data products have always been an instrumental part of Airbnb’s service. However, we have long recognized that it’s costly to make data products. For example, personalized search ranking enables guests to more...
Originally published in The Washington Post LINCOLN, Neb. — The numbers of women in science and technology are dismal: Barely 18 percent of computer science degrees go to women. Women make up 11 percent of math faculty....
Originally published in Hacker Noon, June 26, 2017 The HBO show Silicon Valley released a real AI app that identifies hotdogs — and not hotdogs — like the one shown on season 4’s 4th episode (the app is now available on Android as well as...
Originally published in The Journal Sentinel, June 28, 2017 If the machine-learning algorithm gets it right, you’ll be matched with wines you love. That’s the idea behind Bright Cellars, a Milwaukee-based monthly wine club begun by two...
Originally published in Uber Engineering, June 9, 2017 At Uber, event forecasting enables us to future-proof our services based on anticipated user demand. The goal is to accurately predict where, when, and how many ride requests Uber...
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