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

AI: a fundamental risk to the existence of human civilization according to Elon Musk

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No longer a sci-fi novelty, artificial intelligence is a reality with great potential. While most of the news has

focused on AI’s potential for good, some pundits are now pointing out its potential for harm. They include none other than Elon Musk.

As the founder, CEO, and CTO of SpaceX and the CEO of Tesla, a key player in the emergence of the self-driving car, Musk is certainly no Luddite. When he talks about AI, he is talking about technology that is absolutely integral to his business model. Nonetheless, Musk believes it is imperative that society regulate the advance of AI, as he noted in an interview before an audience at the National Governors Association Summer Meeting this month.

In the course of the interview, Musk referred to his “exposure to the most cutting-edge AI” and warned, “I think people should be really concerned.” The point is not to live in dread of the potential repercussions of AI and respond reactively to them, he said, but to plan proactively for them.

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Elon Musk Sounds Alarm on AI

Canada welcomes AI

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There's no question that AI is redefining processes across a whole spectrum of businesses. There is, however, a question of what that means for the overall economy. Canada is now investing in AI
research with the expectation that it will benefit the country in general.

DeepMind, the London-based leader in artificial intelligence owned by Google’s parent-company Alphabet, is now reaching across the pond to Canada. On July 5, Demis Hassabis, co-founder and CEO, DeepMind announced “the opening of DeepMind’s first ever international AI research office in Edmonton, Canada, in close collaboration with the University of Alberta.”

Though it was announced as a “first” in terms of leaving the UK home base, in reality, as Bloomberg reported in December, the company started building up “a small team” of researchers at a Google office in Mountain View, Calif. Certainly, there is a lot more fanfare for its move to Canada.

In addition to contributing on the research and education end DeepMind plans to invest in programs to promote “Edmonton’s growth as a technology and research hub.” The funding for such programs are also coming from within Canada, as the University of Alberta reveals in its take on the news. It welcomes the DeepMind move as yet another advance toward AI research in the country, which is the goal set by “the federal government’s Pan-Canadian Artificial Intelligence Strategy.”

That federal program, which is to be run by CIFAR, the Canadian Institute for Advanced Research, is expected to invest $125 million (Canadian dollars) in trying to establish an AI foothold in Canada. Dr. Alan Bernstein, President and CEO of CIFAR was quoted in StartUpHereToronto saying he anticipates “enormous potential for innovation” resulting from the initiative:

“Deep AI is a platform technology that cuts across virtually all sectors of the economy, with the potential to improve people’s lives. It will help build a stronger and more innovative economy, create high value jobs, improve transportation and lead to better and more efficient health care and social services.”

That makes AI sound like is capable not only of boosting productivity but of improving things all around. In reality, though, it depends where you stand.

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AI Arrives in Canada: Will Prosperity Follow?