Category Archives: deep learning

Will Google Own AI? (5)

Matthew Rubashkin, Silicon Valley Data Science: “[Google’s] TensorFlow is the 800-pound Gorilla in the room in regards to quantity of tutorials, training materials, and community of developers and users.” Mentions of Deep Learning frameworks in papers uploaded to Arxiv-Sanity in March … Continue reading

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Will Google Own AI? (4)

Norm Jouppi, Google: We’ve been using compute-intensive machine learning in our products for the past 15 years. We use it so much that we even designed an entirely new class of custom machine learning accelerator, the Tensor Processing Unit. Just … Continue reading

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Using AI And Deep Learning To Improve Consumer Access To Credit

Artificial intelligence, machine learning and neural networks-based deep learning are concepts that have recently come to dominate venture capital funding, startup formation, promotion and exits and policy discussions. The highly-publicized triumphs over humans in Go and Poker, rapid progress in … Continue reading

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Deep Learning at Google

Growing use of deep learning at Google In 2012, there was not much use of deep neural nets at Google. Over time, we built tools that other teams can pick up and use to solve their problems. The tools were … Continue reading

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Pressed Data: Best of 2016

  In Pressed Data, my column, I try to chronicle the evolution of digital technologies, their business impact, and the people behind the innovations, business models, and new ideas. In 2016, I covered artificial intelligence—the 60-year-old new new thing, … Continue reading

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The Deep Learning Market: $1.7 Billion in 2022

MarketsAndMarkets: The deep learning market is expected to be worth $1,722.9 Million by 2022, growing at a CAGR of 65.3% between 2016 and 2022. The deep learning market has a huge potential across various industries such as advertisement, finance, and … Continue reading

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The Role of Data in Statistical Modeling and Machine Learning

Oliver Schabenberger, EVP and CTO, SAS, on The difference between Statistical Modeling and Machine Learning: We can… distinguish statistical modeling, classical machine learning and modern machine learning by the role of the data. In statistical modeling, the data guide us to … Continue reading

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