Beyond Games: The Future of AI and AlphGo Zero

Intel's Bob Rogers explains the possibilities that emerge as AI progresses beyond standard machine learning. DeepMind's self-taught Go champion is just the beginning.

The next iteration of AI is the step of generating its own examples with which it builds the models to extract rules. That’s what AlphaGo Zero did in generating a million examples of different rounds of Go to improve its own play. That was achieved through reinforcement learning, which relies on “feedback — positive reinforcement for what’s right and penalties for what’s gone wrong,” Rogers said.
While that ability opens up great possibilities for systems to learn to answer the questions we want answered, the thing to remember is that the systems “are very much unitaskers,” Rogers said. AlphaGo Zero may be an unparalleled Go player, but playing Go is the only thing “the program is designed to do.” Through transfer learning, AI systems can shift to apply the same kind of deep learning to another domain. Still, they would not do so on their own; someone would have to set them up for that.

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What AlphaGo Zero Means for the Future of AI

Amazing visualization for sports

You don’t have to be a sports fan to be impressed by what real time analytics can do for sports. With

new offerings from Intel, we can now know exactly what speed and what heights a snowboarder achieved, and we can get a 3D view of basketball that goes far beyond anything we’ve ever seen before.....

 for data capture in basketball, Intel applied something completely different, 360-Degree freeD Replays. In February Intel partnered with the National Basketball Association to deliver 3-D experience to the fans watching live on TNT or on NBA.com, or through the NBA App.

Intel’s CEO Brian Krzanich said the “sweeping views of top plays from virtually any angle” make it possible for “people to experience NBA All-Star like never before.” The way it works is by setting out 28 ultrahigh-definition cameras to capture video images that can then be combined for 3D views from any position.

An article inThe Cauldron, "Digitization Is Upon Us — The Biggest Change In Sports In Over 100 Years," explained that the court is rendered into “a series of "voxels," small cubes to make up the volume of the area. Then, a computer can virtually place a viewer anywhere, providing a complete 360-degree view. See the videos here 

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Sports Data Like You’ve Never Seen Before

5G: potential and challenges for the brave new world of IoT

The progression to 5G from 4G is different from the previous advance from 3G because that shift was all about speed and now it's all about connection on an unprecedented scale.

More specifically, this time around, the new factor is IoT, and as Aicha Evans, corporate vice president and general manager of the Communications and Devices Group, Intel Corp.(Nasdaq: INTC), observes, this "new paradigm will require major changes to traditional cellular network topology."

Indeed, the 5G realm will encompass a lot more devices, technologies and participants than anything we've seen before. Consequently, collaboration within the industry is essential to keep the various components in communication with each other and on the same page about standards and plans. 

That's one of the key differences between the upcoming change and previous progressions, and it holds a great deal of promise for, as well as a number of challenges, for the industry.

To get some insider insight into the journey that lies ahead for arriving at 5G over the next five years, The New IP checked in with Evans via email

Read her insights in 5G & the IoT Factor