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Category Archives: deep learning
Andrew Ng Promotes the Data-Centric AI Movement
Data is eating the world so Andrew Ng wants to make sure we radically improve its quality. “Data is food for AI,” says Ng, and he is launching a campaign to shift the focus of AI practitioners from model/algorithm development … Continue reading
AI Embraces and Extends Statistics
In the sixty years since Arthur Samuel first published his seminal machine learning work, artificial intelligence has advanced from being not as smart as a flatworm to having less common sense than a house cat. Read more
Best of 2019: Bengio and Intel on Why AI is Not Magic
[September 20, 2019] Asked what is the biggest misconception about AI, Yoshua Bengio answered without hesitation “AI is not magic.” Winner of the 2018 Turing Award (with the other “fathers of the deep learning revolution,” Geoffrey Hinton and Yann LeCun), … Continue reading
What Happened to AI in 2019?
After years in the (mostly Canadian) wilderness followed by seven years of plenty, Deep Learning was officially recognized as the “dominant” AI paradigm and “a critical component of computing,” with its three key proponents, Geoffrey Hinton, Yann LeCun, and Yoshua … Continue reading
Posted in AI, AI Enterprise, deep learning
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Best of 2019: Big Data AI
[July 1, 2019] In December 2014, I asked whether we were at the beginning of “the end of the Hadoop bubble.” I kept updating my Hadoop bubble watch (here and here) through the much-hyped IPOs of Hortonworks and Cloudera. The question was whether … Continue reading
Best of 2019: 60 Years of Progress in AI
[January 8, 2019] Today is the first day of CES 2019 and artificial intelligence (AI) “will pervade the show,” says Gary Shapiro, chief executive of the Consumer Technology Association. One hundred and thirty years ago today (January 8, 1889), Herman … Continue reading
Posted in AI, Computer History, deep learning, Machine Learning, Statistics
Tagged Yann LeCun
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The Accelerating Complexity of AI Models
“The number of parameters in a neural network model is actually increasing on the order of 10x year on year. This is an exponential that I’ve never seen before and it’s something that is incredibly fast and outpaces basically every … Continue reading
Translating Between Computer Science and Statistics
Terence Parr: “I am a computer scientist retooling as a machine learning droid and have found the nomenclature used by statisticians to be peculiar to say the least, so I thought I’d put this document together. It’s meant as good-natured … Continue reading
Posted in AI, Data Science, deep learning, Statistics
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AI by the Numbers: Would You Like AI to Help Your Doctor?
Recent surveys, studies, forecasts and other quantitative assessments of the progress of AI highlighted US consumers’ interest in AI working alongside their physicians, the current porn-heavy state of deepfakes, the potential business benefits of Robotic Process Automation (RPA), and the … Continue reading
Posted in AI, AI Enterprise, deep learning, Stats
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Father of Deep Learning on its Current Limitations and Intel Experts on its Superpowers
Asked what is the biggest misconception about AI, Yoshua Bengio answered without hesitation “AI is not magic.” Winner of the 2018 Turing Award (with the other “fathers of the deep learning revolution,” Geoffrey Hinton and Yann LeCun), Bengio spoke at … Continue reading
Posted in AI, deep learning, Intel
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