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Category Archives: deep learning
Practical AI
Practical AI is the successful (and unsuccessful) learning from data by enterprises. Read more
What is the Real-World Impact of AI?
It’s difficult to measure the real-world impact of AI because “artificial intelligence” is poorly defined. Read more
Northeastern University Launches The Institute For Experiential AI
Aiming to answer these questions, Northeastern University launched earlier this month a new research center, the Institute for Experiential AI. It is a part of the Roux Institute in Portland, Maine, established by Northeastern two years ago with a $100 million grant from … Continue reading
Posted in AI, deep learning, Machine Learning
Tagged Northeastern University, Roux Institute
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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
What's The Big Data? 