Neil Jacobstein On the AI Landscape

Wednesday, August 20, 2014


 Artificial Intelligence
At this year's Exponential Finance conference, Singularity University's Neil Jacobstein spent time reviewing current major developments in artificial intelligence, and what they might mean for the future.




Singularity University's Co-Chair on artificial intelligence Neil Jacobstein discusses how businesses, financial institutions and individuals are utilizing AI to address credit risk analysis, investment decisions, sentiment analysis, high frequency trading and avoiding corporate/market flash crashes in the video above.

The video was recorded at the Exponential Finance conference earlier this summer.  The meeting, hosted by Singularity University in partnership with CNBC, is an intensive two-day conference that brought together top experts to inform financial services leaders how technologies—such as artificial intelligence, quantum computing, crowdfunding, digital currencies and robotics—are impacting business.

"AI is more than just a lever, it's a fulcrum that can increase the leverage of all the other exponential technologies."


During the talk, Jacobstein also provides a sweeping overview of AI—from 50 years of successful AI applications to augmenting humans with AI—and what this means for the world at large.

"AI is more than just a powerful set of problem-solvers," states Jacobstein. "AI is more than just a lever, it's a fulcrum that can increase the leverage of all the other exponential technologies."

AI is fulcrum of Exponential Technology

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According to Jacobstein, AI is currently based around three main areas of development: statistical and deep machine learning; task and domain specific knowledge engineering; and biologically inspired computing architectures. Most of the key applications created in the last 15 years or so use all three of these techniques.

He goes on to cover some of the major commercial and academic developments in AI, including Jeff Hawkins' Grok (Numenta), Facebook's hiring of Yann LeCun, Geoff Hinton's deep learning work, Kaggle, IBM's SyNAPSE and Watson work, Siri, Google Now and more.

"Eventually we will build an artificial neocortex that is much larger than the ones we have today," Jacobstein reports. "The human neocortex today is about the size of a large dinner napkin.  One can imagine building a neocortex not constrained by the cage of the skull, with the surface area the size of this room, or Manhattan, or New York, or the U.S. or even the planet."

Is this excessive, he asks.  "No, it's not excessive, because we are going to have billions of sensors around the world, millions of sensors around our corporations, thousands, perhaps millions around our bodies and we're going to get real-time interpretation and prediction from those sites using AI."

Somewhat unnerving is that Jacobstein concludes his talk with the preview clip of David the android from the movie Prometheus, suggesting this is a realization of AI in the future.

Jacobstein suggests that the changes coming from AI, will be radical and revolutionary. "The key to harnessing that well of revolution is learning with computers, learning to race with computers, not just against them."


SOURCE  Exponential Finance

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