Category Archives: deep learning

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

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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

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

  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)

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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AI by the numbers: Surveys and forecasts, July 2019

What is the state-of-AI in July 2019? Recent surveys, studies, and forecasts illustrate future expectations and current realities regarding the impact of AI on jobs; the conditions, challenges, and benefits of AI adoption; and bits of data related to data … Continue reading

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State of AI Report, June 28, 2019

Source: State of AI Report

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Deep Learning Algorithms from Zebra Medical Vision Provide Accurate and Timely Interpretation of Medical Images

“The past fifty years,” says Dr. Eric Topol in Deep Medicine: How Artificial Intelligence Can Make Medicine Human Again, “have introduced important changes to radiology. As the medium moved from analog to digital… the whole process, extending from films to … Continue reading

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