Posts Tagged 'Artificial Intelligence'

Don’t Fear the Robots

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New York Times technology reporter Steve Lohr devotes a recent column to the current state of robotics and cognitive software, differentiates among the two, provides a wave to the Singularity hysteria, and usefully focuses attention on the degree to which cognitive software applications will assist human decision making—in the present and future tenses.

Read more at The New York Times

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Toyota’s $1B AI Bet

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Following on the heels of a $50M grant to Stanford and MIT to support artificial intelligence research, Toyota announced that it would open its own AI labs—one in Silicon Valley and one in Cambridge, MA. The company plans to spend $1B over five years and employ some 200 AI research scientists. Toyota is targeting a strategy of driver augmentation, in contrast to the driver replacement popularized by Google.

Read more at The New York Times

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The End of Expertise? Or A New Beginning?

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Bill Fischer, Professor at International Institute for Management Development in Lausanne, Switzerland, recently penned a short op-ed nugget titled “The End of Expertise.” The piece is a “perspective” written to coincide with the 7th Global Drucker Forum being held in Vienna in November, and it was published on a no less respected platform than the Harvard Business Review website.

A major tenet of Fischer’s argument is that today’s decision makers need merely enlist “AI” to assemble from the Internet the answers ...

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Apple AI Acquisition Spree

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Apple spent the past week acquiring Perceptio and UK-based VocalIQ, two startups working to commercialize software in the areas of image recognition and speech recognition, respectively. Some speculate that the company is hoping to catch up with (or leapfrog) the work being done in these areas at Google, Microsoft, and Facebook.

Read More at Business Insider

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Master Algorithm. Really?

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Daniel Levitin crafts an interesting review of Pedro Domingo’s recent book The Master Algorithm. Author, neuroscientist, musician, Levitin brings all of these fields into play in visiting the ground of learning algorithms, their effectiveness, their limitations, their future(s), and their implications. Both Domingo and Levitin are resources of value to anyone thinking about cognitive computing.

Read More at WSJ

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Artificial Intelligence Machine Gets Testy With Its Programmer

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Amir Mizroch of the Wall Street Journal Digits Blog reports on a Google research study that sought to train a machine to learn about human values—like morality—by using a large database of movie scripts as a training corpus. The comments on the post are as illuminating as the Google work.

Read more on WSJ Digits Blog

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