Category Archives: Artificial Intelligence

The People Vs Tech

A new  book The People Vs Tech by Jamie Bartlett is “an enthralling account of how our fragile political system is being threatened by the digital revolution. Bartlett explains that by upholding six key pillars of democracy, we can save it before … Continue reading

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Gary Kasparov: we’re not being replaced by AI, we’re being promoted

On May 7 the Wall Street Journal published a new article by Gary Kasparov. “We’re not being replaced by AI. We’re being promoted. My chess loss in 1997 to IBM supercomputer Deep Blue was a victory for its human creators and mankind, not triumph … Continue reading

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Self-Driving Cars are Here

Self-driving cars are no longer a futuristic AI technology. Today Andrew Ng informed the world that after decades of anticipation, practical self-driving cars are here. Drive.ai will offer a self-driving car service for public use in Frisco, Texas starting in … Continue reading

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Let the AI Benchmarking Wars Begin

On May 2, 2018 a diverse group from academia and industry – Google, Baidu, Intel, AMD, Harvard, and Stanford among them – released MLPerf, a nascent benchmarking tool “for measuring the speed of machine learning software and hardware.” The hope is … Continue reading

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Say Something to Books…

With Talk to Books, Google Research provides an entirely new way to explore books. You make a statement or ask a question, and the tool finds sentences in books that respond, with no dependence on keyword matching. In a sense you … Continue reading

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Does Real-World Decision Management Need Inference?

A set of recent articles by Paul Haley again brings attention to this important question. Paul insists that “It’s time to trade rule technology dating back to the 80’s for state of the art AI” and points that “BRMS are incapable … Continue reading

Posted in Artificial Intelligence, BPM, Decision Modeling, Events, Rule Engines and BRMS, Semantic Web | 3 Comments

Yann LeCun: What’s still Missing is Reasoning

This paper describes what Yann LeCun, Director of AI Research at Facebook, said about “power and the limits of deep learning.” LeCun talked about three types of learning as being like parts of a cake: reinforcement learning is the cherry on … Continue reading

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