#凯发电游分享#【机器学习不等于人工智能】

#凯发电游分享#【机器学习不等于人工智能】诺基亚执行副总裁称,现在相对于60年代我们并没有更接近真正的人工智能,目前我们只是试图在人工神经网络凯发电游的基础上,让机器拥有某种程度的识别和推断能力。如诺基亚网络正在尝试让机器学习如何分配网络资源以保证其网络畅通性。 DSC_65303-582x387 We might be years away from the debut of emotional robots and a self-driving car in every garage, but AI-driven behavior by machines is already enabling profound changes across industries. And in telecom, AI is gaining traction in ways that are invisible to consumers, but that have big implications for enterprise. Nokia, the Finland-based technology company, is using machine learning to allocate network resources better than humans ever could. The result? Faster, more efficient networks that can deliver seamless high-speed video and other services while users move over remote terrain. The man at the center of this research—Nokia Networks’ Executive Vice President and Chief Technology Officer Hossein Moiin—sat down with #maketechhuman to explain why he’s optimistic about the role of technology in everything from accelerating cellular networks to helping amputees. What are you most excited about when it comes to technology in the years ahead? I am excited about the possibility to combine technologies from diverse fields to positively impact the lives of every human on this planet. For example, the combination of advanced networks, smart devices, real-time artificial intelligence, infinite computing and storage capabilities in the cloud, together with advances in medical sciences will enable us to fight the spread of diseases and find new ways to fight old diseases to live longer, more fulfilling lives. Integrating advanced communication techniques into the auto sector will enable us to reduce fatalities by avoiding accidents. And combining ICT techniques with utilities will help us preserve our most precious resources, such as energy, air, water, or time. In other words, discovering life-changing, life-enhancing applications of technologies at the intersection of diverse fields of human endeavours is what excites me most about the future of technology. On the personal front, my immediate excitement is about how can I help solve some of the challenges that are very relevant to me. I come from Iran. Iran went through an eight-year period of war with Iraq in the 1980s. And one of the consequences is that there are many unexploded devices in the ground. Large areas of land are unusable, so they are depopulated. The land is not economically viable. Afghanistan has gone through 30 years of continuous war. A couple of years ago I met a small boy and a small girl from Afghanistan who lost limbs—and in the case of the girl, one eye—when they were playing outside and unexploded devices went off. The girl thought an unexploded grenade was a rock, she threw it at her sister, the sister died immediately and the girl lost an eye and an arm. My partner brought her to the U.S., and they spent quite a bit of energy and effort to fix her arm and eye. So in the very near term, I think we can help a lot of children in these places. So what was the problem? The problem was that this organization, Children of War, brought her from Afghanistan to the U.S. and the cost was very significant. Even though the hospital did not charge her and the doctors did not charge her, the cost of travel and staying there for a year and a half to two years was huge. So I’m excited about using technology to address this. And there’s a project in Sudan—it’s called Project Daniel and was started by the Not Impossible Foundation—that does this. They serve people who’ve lost limbs, and the loss of a limb can now be fixed by remotely assessing it; using mobile networks to communicate with experts in hospitals overseas; designing an artificial limb that will fit the individual; and then [3D-] printing it locally onsite. It reduces the cost by a factor of two—huge savings, using technology. What worries you about where technology is taking us? I am concerned about losing our ability to experiment, disrupt the status quo, innovate and rebel. As we live more of our lives in the digital arena and as we are being watched constantly in this domain, would we not lose our privacy and become all conformists? We need a way to rebel and discover who we really are through experimentation and failure and I am afraid we might lose that ability. Tell us about your interest in artificial intelligence. I distinguish between true artificial intelligence and the machine-learning domain. I have interest in both, but I don’t think the ecosystem and the technology is ready for true machine intelligence. Why not? There are lots of ethical questions. There’s lots of debate to be had about whether we actually want this or not, whether true artificial intelligence would be harmful to humanity or not. The good news is we’re not any closer than we were in the 1960s to true artificial intelligence. What we do today is based on neural networks and trying to create deep levels of understanding for the machines so then they can infer and recognize patterns. It’s what I would call rudimentary human intelligence. What can be done with that type of intelligence? What are you doing with it at Nokia? We use it for managing our own networks with something called predictive operations. One can say, well, this network is probably going to go down in the next 48 hours with a probability of 90 percent, so you may want to take some preventative measures to minimize the impact. I’m optimistic that we can do a lot more with it. For example? Mobile networks know so much about you, it’s just unbelievable. With that information you can answer some very interesting human problems. Think about improving the streets in a municipality. What’s the best time to close them? In what sequence? We’re talking about minimizing disruption for a certain segment of society versus another. You need to know where people commute from, how often, and during what hours. All this information is available from the mobile network operators. Apply some artificial intelligence techniques—or big data analytics to be more precise—and you can actually come up with some good answers. But there’s a darker side to that wealth of information. There’s never good without the bad and possibly the ugly. Having too much information about individuals is quite worrisome when you look at what has happened in the last decade or so. If all of our lives are open to prying eyes, we may not like who we’ve become. Maybe today’s governments are benign—maybe—but tomorrow’s governments may not be. We must be very vigilant about protecting the privacy of individuals and ensuring that their digital transactions and information are secure. How does your work with Nokia Networks embody the goals of making tech more human? We’re now in the midst of designing the next-generation mobile network. And some of our goals, if you look at them from a technology perspective, are strange. We would like to make sure that we give back an hour a day to every human being on the planet that uses this technology. This, to me, is a laudable goal. Another goal we have for 5G mobile networks is making sure that we have minimal—and really, my target is zero—road fatalities by 2025, where this network is used. Not needing to worry about being killed on the road: that is a good use of artificial intelligence. It’s necessary for technology to have a higher purpose. What else? We ran a “crazy idea” campaign last year and one of the entries proposed using drones to provide network services. So we developed the project further and then tested it with the UAE operator du. In this experiment we used drones carrying smartphones equipped with network testing applications to analyze the operator’s network. The test was carried out at the Dubai International Stadium, and the test data was collected automatically and sent to a server for processing. Drones were also used for tower inspections, radio planning and line-of-sight testing between radio towers. Working at great height is a danger to service people. Drones can minimize the time required to work at height and subsequently we are making this technology safer and more humane. You’re wearing an Apple Watch. How do you feel about constant connectivity? Anybody who wants to know where you are today knows where you are today. They probably even know why you’re here and what you’re doing. But having data, if used properly, enables us to make much better decisions. We can look at management science where decisions based on data always beat decisions based on gut feeling, even if that gut feeling comes from someone as experienced as Warren Buffett. So it’s always best to know, and [the Apple Watch] will give you additional data points on how you can be healthier, how you can actually be more productive and in a way work less. 文章来源:wired http://www.wired.com/brandlab/2015/08/hossein-moiin-rise-of-the-machines-intelligence#!/

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