Tag Archives: NVIDIA

ML/AI Vendor Roundup October 2018

Hello, everyone! It’s time for another roundup of machine learning and AI news. Product enhancement, customer reference, partnership, acquisition, or other significant contributions. No hype! Vendors listed below in alphabetical order. Algorithmia Algorithmia publishes its first State of Enterprise Machine Learning report based on a survey of 500 data scientists. AWS Machine Learning AWS announces enhancements to SageMaker’s built-in image classifier.

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The Year in Machine Learning (Part One)

This is the first installment in a four-part review of 2016 in machine learning and deep learning. In the first post, we look back at ML/DL news organized in five high-level topic areas: Concerns about bias Interpretable models Deep learning accelerates Supercomputing goes mainstream Cloud platforms build ML/DL stacks In Part Two, we cover developments in each of the leading open

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Roundup 11/2/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. Plus, some AI stuff. The Next Platform publishes my three-part series on the state of enterprise machine learning. Part one is here. Part two is here. Part three is here. In an interview published on Forbes, SAS CEO Jim Goodnight notes that Viya, SAS’ new architecture, is the company’s

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Roundup 11/1/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. Plus, some AI stuff. The Next Platform is publishing my three-part series on the state of enterprise machine learning. Part one is here. Part two is here. IDC predicts worldwide spending on cognitive systems and AI will grow from $8 billion in 2016 to more than $47 billion

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Roundup 10/28/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. Plus, some AI stuff. I’m publishing a three-part series on the state of enterprise machine learning in The Next Platform. Part one is here. Good Reads — Helen Beers explains AI in the second part of a series. Part one is here. — Market Realist publishes a twelve-part

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Roundup 10/27/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. Plus, some AI stuff. I’m publishing a three-part series on the state of enterprise machine learning in The Next Platform. Part one is here. The latest Kaggle newsletter is here, with lots of interesting content. Good Reads — Andrew Colyer summarizes a paper on the use of graph

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Roundup 10/26/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. Plus, some AI stuff. In Scientific American, Larry Greenemeier reports that AI is not out to get us. Well, that’s a relief. Microsoft Launches Cognitive Toolkit 2.0 — MSFT rebrands CNTK as Cognitive Toolkit, releases version 2.0 to beta. Enhancements include a Python API, Visual Studio support, reinforcement

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Roundup 10/17/2016

Top machine learning (ML) and deep learning (DL) stories from last week, plus new content from Friday and the weekend. Note to readers: Big Analytics is now ML/DL. ICYMI: Top Stories of Last Week — The White House publishes a report: Preparing for the Future of Artificial Intelligence. In Fortune, Barb Darrow summarizes. In MIT Tech Review, Will Knight explains. — In the Washington

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Machine Learning Roundup 10/14/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. Note to readers: Big Analytics will rebrand as ML/DL on Monday, October 17. Fundamentals — Cynthia Harvey explains the difference between AI, ML, and DL. Issues — Arun Krishnan asks: can algorithms reinforce our biases? — In Nature, Kate Crawford and Ryan Calo note rising use of AI, summarize

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