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  • Building a More Intelligent Enterprise

    Building a More Intelligent Enterprise

    Intelligent enterprises today are being shaped by two distinct forces. The first is the growing power of computers and big data, which provide the foundation for operations research, forecasting models, and artificial intelligence (AI). The second is our growing understanding of human judgment, reasoning, and choice. Decades of research has yielded deep insights into what […]

  • Superforecasting: How to Upgrade Your Company’s Judgment

    Superforecasting: How to Upgrade Your Company’s Judgment

    Companies and individuals are notoriously inept at judging the likelihood of uncertain events, as studies show all too well. Getting judgments wrong, of course, can have serious consequences. Steve Ballmer’s prognostication in 2007 that “there’s no chance that the iPhone is going to get any significant market share” left Microsoft with no room to consider […]

  • 3-D Imaging Systems for Agricultural Applications—A Review

    3-D Imaging Systems for Agricultural Applications—A Review

    Imaging in agriculture is where machine learning will be necessary to execute on a chip.  Using triangulation as an example for generating point cloud data at high resolution would require a tremendous amount of computation. Supercomputers based on GPU might help but that won’t make it into the field devices, therefore, I am predicting that […]

  • Google Reveals Automatic Machine Learning: A.I. Can Create Itself | Inverse

    Google Reveals Automatic Machine Learning: A.I. Can Create Itself | Inverse

    In a blog post about the project, Google CEO Sundar Pichai said that, “We hope AutoML will take an ability that a few Ph.D.s have today and will make it possible in three to five years for hundreds of thousands of developers to design new neural nets for their particular needs.” Source: Google Reveals Automatic […]

  • Machine Learning, Deep Learning, and AI: What’s the Difference?

    Machine Learning, Deep Learning, and AI: What’s the Difference?

    Machine learning, deep learning, and artificial intelligence all have relatively specific meanings, but are often broadly used to refer to any sort of modern, big-data related processing approach. In this respect, it’s subject to the inevitable hype that accompanies real breakthroughs in data processing, which the industry most certainly is enjoying at the moment. Source: […]

  • A list of artificial intelligence tools you can use today — for personal use (1/3)

    A list of artificial intelligence tools you can use today — for personal use (1/3)

    Artificial Intelligence and the fourth industrial revolution has made some considerable progress over the last couple of years. Most of… Source: A list of artificial intelligence tools you can use today — for personal use (1/3)

  • Add or Delete a Painter’s Style Using Neural Algorithms

    Add or Delete a Painter’s Style Using Neural Algorithms

    London-based new media artist Kyle McDonald tells The Creators Project how he hijacked “Deep Dream”-style networks to transfer iconic styles between artworks. Source: Add or Delete a Painter’s Style Using Neural Algorithms

  • Google’s dedicated TensorFlow processor, or TPU, crushes Intel, Nvidia in inference workloads – ExtremeTech

    Google’s dedicated TensorFlow processor, or TPU, crushes Intel, Nvidia in inference workloads – ExtremeTech

    Google has revealed new benchmark results for its custom TensorFlow processing unit, or TPU. In inference workloads, the company’s ASIC positively smokes hardware from Intel, Nvidia. Source: Google’s dedicated TensorFlow processor, or TPU, crushes Intel, Nvidia in inference workloads – ExtremeTech

  • How to create the ‘perfect’ AI-driven bot

    How to create the ‘perfect’ AI-driven bot

    With all the work you’re doing to create a humanlike persona for your AI, the last thing you want to do is break the spell with a lapse into botlike behavior — especially in the form of intrusive marketing. You might want to build your AI to offer tips and suggestions, but I would advise that […]

  • An Algorithm Summarizes Lengthy Text Surprisingly Well

    An Algorithm Summarizes Lengthy Text Surprisingly Well

    shows the limits of relying purely on statistical machine learning. “At some point, we have to admit that we need a little bit of semantics and a little bit of syntactic knowledge in these systems in order for them to be fluid and fluent,” says Hammond. Source: An Algorithm Summarizes Lengthy Text Surprisingly Well – […]

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