Until recently, artificial intelligence (AI) was primarily limited to computer chess players and jeopardy. In the last few years, however, the pace of innovation in AI has skyrocketed, driven by tipping points in algorithms, processing (GPUs), and increasing volumes of data. While there is an infinite set of use cases for AI, the Internet of Things is a particularly interesting breeding ground for new AI-driven solutions and experiences, from self-driving cars to intelligent homes to mHealth. In this talk at Bosch ConnectedWorld Chicago, MongoDB's Dev Ittycheria discusses how the massive increase in data driven by sensors will drive the next wave of innovation in AI.
A few weeks ago, I got into an intense discussion with a good friend, who's a surgeon. He does important work, literally saving lives for a living. But I said his days in the operating room might just be numbered: the robots are coming. Already, driverless trucks are making their way across Europe, and "virtual employees" are starting to replace call center jobs. By some counts, surgery is not far off on the machine-learning hit list.
The world's top tech firms, including Google's DeepMind, Facebook and Amazon, have formed the tech equivalent of a musical supergroup, joining forces to ensure the ethical development of artificial intelligence and "advance public understanding" of the technology which is increasingly working its way into our lives. The group, Partnership on AI, will connect academics, policy experts, and non-profits alongside businesses, which also include Microsoft and IBM, to hot house best practice in the burgeoning technology being used to help solve world health problems and reduce energy consumption - an industry expected to be worth 9.2bn by 2019. "The objective of the Partnership on AI is to address opportunities and challenges with AI technologies to benefit people and society," the group said, outlining its goals. "Together, the organisation's members will conduct research, recommend best practices, and publish research under an open license in areas such as ethics, fairness, and inclusivity; transparency, privacy, and interoperability; collaboration between people and AI systems; and the trustworthiness, reliability, and robustness of the technology. It does not intend to lobby government or other policymaking bodies."
Just a few months ago, the social network thought that its AI experts were on the cusp of a breakthrough, making a computer that could play Go faster than any previous machine. Then Google came along and blew them out of the water, revealing first that it had built a Go computer capable of defeating a professional human player, and then going on to beat Lee Sedol, the greatest player of the last decade, 4-1 over the course of a week. Facebook has already tried to spoil Google's thunder once, with Mark Zuckerberg releasing a coincidentally timed statement on the company's Go progress just one day before Google announced its victory over the European champion Fan Hui (and one day after Google had already revealed to the press that the victory had occurred). Zuckerberg himself has been more conciliatory this time round, posting after a message of congratulations after AlphaGo's third victory in a row: "Congrats to the Google DeepMind team on this historic milestone in AI research – a third straight victory over Go grandmaster Lee Sedol. We live in exciting times."