Category Archives: AI
Using Deep Learning in Medicine (Video)
https://youtu.be/3WBpJKDv1U8 Jeremy Howard, founder and CEO of Enlitic, argues that the release of Google’s TensorFlow will have an impact similar to the release of the C programming language and that Deep Learning will have an impact similar to that of … Continue reading
Google’s RankBrain Outranks the Best Brains in the Industry
Bloomberg recently broke the news that Google is “turning its lucrative Web search over to AI machines.” Google revealed to the reporter that for the past few months, a very large fraction of the millions of search queries Google responds … Continue reading
Posted in AI, Machine Learning
Tagged Amazon, deep learning, Facebook, IBM, search, twitter
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45% of work activities can be automated including those performed by highest-paid occupations
McKinsey: …our research suggests that as many as 45 percent of the activities individuals are paid to perform can be automated by adapting currently demonstrated technologies.4 In the United States, these activities represent about $2 trillion in annual wages. Although … Continue reading
Google: Machine Learning and Deep Neural Networks Explained (Video)
[youtube https://www.youtube.com/watch?v=bHvf7Tagt18?rel=0] *Greg and Chris did an AMA on Friday, September 25th to answer people’s deep learning questions. Check out their answers here: https://goo.gl/jpbMy9 *To read more about machine learning, neural nets, and the like – check out the Google … Continue reading
IBM Watson and Ken Jennings Compete Again, This Time for Title of Most Productive (Video)
[youtube https://www.youtube.com/watch?v=lszB8muRqQA?rel=0]
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.”
Posted in AI, Predictions
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The Robotics Market, 1950 to 2050 ($67 Billion)
Sources: BCG, FastCompany
Posted in AI, Robotics
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