Category Archives: AI
A Sane Discussion of the Rising Fears of Artificial Intelligence (AI)
[vimeo 138319099 w=500 h=281] Rise of Concerns about AI: Reflections and Directions By Thomas G. Dietterich, Eric J. Horvitz Communications of the ACM, Vol. 58 No. 10, Pages 38-40 Discussions about artificial intelligence (AI) have jumped into the public eye over … Continue reading
John Markoff on automation, jobs, Deep Learning and AI limitations
My sense, after spending two or three years working on this, is that it’s a much more nuanced situation than the alarmists seem to believe. Brynjolfsson and McAfee, and Martin Ford, and Jaron Lanier have all written about the rapid … Continue reading
Posted in AI, deep learning, Machine Learning
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Hype Curve of (Hardware) Neural Networks
2013: Qualcomm has presented their Zeroth processor for brain-inspired computing. 2012: Google X has been working on implementing the largest Deep Neural Network to date on a 16,000-node server. 2012: Microsoft Research is applying neural networks to general-purpose (approximate) computing … Continue reading
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Human level AI has been 15 to 25 years away for the past 50
Human level AI has been 15 to 25 years away for the past 50 years https://t.co/DTP0mvjnaN — Mitch Kapor (@mkapor) November 12, 2014 Source: Armstrong, Stuart, and Kaj Sotala. 2012. “How We’re Predicting AI—or Failing To.”
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The Robotics Market, 1950 to 2050 ($67 Billion)
Sources: BCG, FastCompany
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IBM, Watson, and Cognitive Computing
Reacting to 10 quarters in a row of declining revenues and the abandonment of IBM’s profit target for 2015, UBS’s Steve Milunovich asked on the Q3 earnings call about IBM’s appeal to Silicon Valley startups. Giving voice to the rising … Continue reading
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Jeopardy champion Jennings on how a computer beat him at his own game (Video)
[youtube https://www.youtube.com/watch?v=b2M-SeKey4o?rel=0] Jennings in Slate: …there’s no shame in losing to silicon, I thought to myself as I greeted the (suddenly friendlier) team of IBM engineers after the match. After all, I don’t have 2,880 processor cores and 15 terabytes … Continue reading
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Oren Etzioni on Building Intelligent Machines
[youtube https://www.youtube.com/watch?v=E_6AZ8slivc?rel=0] “There are more things in AI than classification… the entire paradigm of classification, which has fueled machine learning and data mining, is very limited… What we need is a process that is structured, multi-layered, knowledge-intensive, much more like … Continue reading
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Machines vs. Models, Noise vs. Signal
An excerpt from Nassim Taleb’s forthcoming book, Antifragile, was posted yesterday on the Farnam Street blog. In “Noise and Signal,” Taleb says that “In business and economic decision-making, data causes severe side effects —data is now plentiful thanks to connectivity; … Continue reading
Posted in AI, Big Data Analytics, Machine Learning
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Big Data News Roundup
IBM’s Watson visited a few conferences last week. Watson’s lead developer, David Ferrucci delivered a keynote at the ACM’s 2011 Federated Computing Research Conference in San Jose, CA.
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