Category Archives: deep learning

Best of 2019: Bengio and Intel on Why AI is Not Magic

Posted on February 5, 2020 by

[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 →

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What Happened to AI in 2019?

Posted on January 30, 2020 by

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 →

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Best of 2019: Big Data AI

Posted on January 20, 2020 by

[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 →

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Best of 2019: 60 Years of Progress in AI

Posted on January 8, 2020 by

[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 →

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The Accelerating Complexity of AI Models

Posted on December 8, 2019 by

“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 →

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Translating Between Computer Science and Statistics

Posted on December 1, 2019 by

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 | 5 Comments

AI by the Numbers: Would You Like AI to Help Your Doctor?

Posted on October 11, 2019 by

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 →

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Father of Deep Learning on its Current Limitations and Intel Experts on its Superpowers

Posted on September 22, 2019 by

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 →

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Chimpanzee face recognition and great ape detection in the wild using deep learning

Posted on September 13, 2019 by

  We present a deep convolutional neural network (CNN) approach that provides a fully automated pipeline for face detection, tracking, and recognition of wild chimpanzees from long-term video records. And… We propose the first multi-frame video object detection framework trained … Continue reading →

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Chatbots and Natural Language Processing (NLP)

Posted on July 24, 2019 by

Natural Language Processing is a based on deep learning that enables computers to acquire meaning from inputs given by users. In the context of bots, it assesses the intent of the input from the users and then creates responses based on contextual … Continue reading →

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