Strictly speaking, every single week is Robotics Week around here, but this week (or, technically, April 8-16), also happens to be U.S. National Robotics Week. This is an Official Thing--the U.S. House of Representatives declared the second week in April to be National Robotics Week starting back in 2010 and continuing until the End of Time. There are hundreds of events going on all over the country for the eighth edition of this event, ensuring that you'll be able to find something awesome and roboty to do near you. There's a list of everything (organized by state) at the official website here. IEEE Spectrum is a big supporter of National Robotics Week, and like in previous years, we teamed up with iRobot and Georgia Tech to put together a new set of robot trading cards for 2017, which is obviously by far the most exciting thing about NRW every year, and you can see those here.
CIO: Artificial intelligence and machine learning are eating up workloads at IT help desks, in cybersecurity, and other IT tasks, stirring significant concern over the long-term impact AI will have on jobs -- even in the IT industry. And the concern isn't unfounded. According to a recent report from Tata Consulting Services, in 12 out of the 13 major industry verticals, IT is the most frequent user of AI, with more than 46 percent of IT organizations at large corporations incorporating AI into their work portfolios. But that doesn't mean IT jobs are about to go the way of telephone switchboard operators. Instead, the day-to-day activities of enterprise technology professionals will evolve alongside AI and new skills may be required.
Nowadays people are -- or arguably should be -- aware of the advances, promises and challenges of artificial intelligence, which already controls computers, mobile phones, automobiles and just about everything else that has a battery or power cord. Along with artificial intelligence (AI) comes the need to make sure benefits aren't undermined by risks with something controlled by a computer algorithm rather than humans. It's an important but complex topic, explaining why the White House released a 58-page report, "Preparing for the Future of Artificial Intelligence," in advance of today's Frontiers Conference at Carnegie Mellon University and the University of Pittsburgh. "Developing and studying machine intelligence can help us better understand and appreciate our human intelligence," states the report's executive summary. "AI can augment our intelligence, helping us chart a better and wiser path forward."
Events The machines are not taking our jobs any time soon, Prof Mark Bishop declared at the opening of MCubed, mainly because right now, computing is better suited to cementing artificial stupidity than creating true artificial intelligence. Prof Bishop, in the opening keynote of the Register and Heise-backed conference, also made the point that striving to create artificial consciousness is a bit of a stretch, given scientists are nowhere near unravelling the mysteries of the common or garden human kind of intelligence yet. Our day-two keynoter, Google's Melanie Warrick, also urged listeners to "relax", pointing out both the potential of the tech, and the hurdles it would have to overcome before some of the more fervent predictions come true. If that sounds like a strange way to open a conference covering machine learning, analytics and artificial intelligence, you clearly don't understand how we like to run things round here. The aim was not to subject our audience of savvy tech pros to utopian visions of what could be done, at some point, if the technology doesn't overwhelm us first, but rather to examine show the possibilities of machine learning, data science in AI now, and the practical implications of implementing it in real world companies.
The Chinese government has released a three-step blueprint, showing how it intends to become the leader in artificial intelligence development and deployment by 2030. The State Council, the chief administrative authority in China, published the plan last week. See Also: WeChat's director of user growth talks up new features for overseas clients China will look to "keep pace" with all other leading countries in AI by 2020. This means an AI industry worth $22 billion and $150 billion in related fields, such as self-driving. From there, the Chinese government will work to have all regulatory and legal framework set by 2025.