Alibaba set a new Singles Day record this Saturday by selling a staggering $25 billion worth of goods. The company also quietly tested a technology that could help it reinvent retail using artificial intelligence.
Source: Technology ReviewThe 42-year-old has busted all 10 of his fingers over a lifetime of skiing, skateboarding, bicycling, rollerblading, race-car driving, wrestling and hoops. He's not a clod; he's a risk taker who pushes physical and mental boundaries.
Source: Oregon liveDeep learning has emerged as a cutting-edge tool for training computers to automatically perform activities like identifying stop signs, detecting a person's emotional state, and spotting fraud. However, the level of technological complexity inherent in deep learning is quite daunting. So how can one get started? Forrester analyst Mike Gualtieri provides a surprising answer.
Source: DatanamiJust weeks after the publication of the UK government's review of the country's capabilities in artificial intelligence, Southampton Professor Dame Wendy Hall, co-chair of the review, says the time is right to capitalise while the time is right.
Source: Morning starThere's a frequently cited PwC report that says that 38% of U.S. jobs are at risk of being overtaken by artificially intelligent automation by 2030. Similarly, a Scientific American article warned earlier this year that 40% of the top 500 companies will vanish within a decade as they fall victim to artificial intelligence (AI).
Source: FoolArtificial intelligence and machine learning are expanding their reach into many areas of business, and marketing is no exception.
Source: Beta NewsMachine learning is all about doing complex calculations on huge volumes of data with increasing efficiency, and with a growing stockpile of success stories it has rapidly evolved from a rather obscure computer science concept into the go-to method for everything from facial recognition technology to autonomous cars.
Source: Semi EngineeringSome people think artificial intelligence (AI) will end civilization. These folks are not worried about today's common forms of AI, but instead, they worry about tomorrow's more decisive version -- AI that can actually take actions.
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