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  • How the GPU became the heart of AI and machine learning

    How the GPU became the heart of AI and machine learning

    The GPU has evolved from just a graphics chip into a core components of deep learning and machine learning, says Paperspace CEO Dillion Erb.

    Sourced through Scoop.it from: www.zdnet.com

  • Einstein artificial intelligence leaves headroom for AI tools

    Einstein artificial intelligence leaves headroom for AI tools

    Einstein artificial intelligence, native to Salesforce, comes pre-integrated. That might be enough for many customers, but others augment with third-party tools.

    Sourced through Scoop.it from: searchsalesforce.techtarget.com

  • How to become a machine learning and AI specialist

    How to become a machine learning and AI specialist

    Machine learning and AI are the exciting future, with great prospects for experts. You can get a solid introduction to both fields for just $39.

    Sourced through Scoop.it from: www.androidauthority.com

  • ML.Net aims to provide machine learning for .Net developers

    ML.Net aims to provide machine learning for .Net developers

    Microsoft's new machine learning framework promises high-level APIs to make model training and predictions easy, along with strong integration of .Net language features

    Sourced through Scoop.it from: www.infoworld.com

  • Efficient artificial intelligence (AI) and machine learning models are focus of DARPA LwLL program

    Efficient artificial intelligence (AI) and machine learning models are focus of DARPA LwLL program

    ARLINGTON, Va. – U.S. military researchers need industry's help to speed development and deployment of artificial intelligence (AI) systems by reducing the complexity by reducing the amount of labeled data necessary to build machine learning models.
    Officials of the U.S. Defense Advanced Research Projects Agency (DARPA) in Arlington, Va., released a solicitation on Monday (HR001118S0044) for the three-year Learning with Less Labels (LwLL) program.

    Sourced through Scoop.it from: www.militaryaerospace.com

  • Taking the pulse of machine learning adoption

    Taking the pulse of machine learning adoption

    Despite the hype, ML really is in its infancy according to a just-published survey from O'Reilly. The good news is that those who are furthest along with ML are getting quite cognizant of moral and regulatory hazards, like bias and privacy. The survey results drop hints of drastic changes in store as adoption grows more broad-based.

    Sourced through Scoop.it from: www.zdnet.com

  • How to squeeze value out of machine learning from the start… • The Register

    How to squeeze value out of machine learning from the start… • The Register

    Save on MCubed tickets while you still can

    Sourced through Scoop.it from: www.theregister.co.uk

  • Google Next 2018: A deeper dive on AI and machine learning advances

    Google Next 2018: A deeper dive on AI and machine learning advances

    Google Cloud announcements bring deep learning and big data analytics beyond data scientists, but enterprises will want more.

    Sourced through Scoop.it from: www.zdnet.com

  • Could machine learning mean the end of understanding in science?

    Could machine learning mean the end of understanding in science?

    Machine learning is changing the world in ways that we are just beginning to appreciate. But could it change the way we do science and the reasons why we do science?

    Sourced through Scoop.it from: theconversation.com

  • Podcast: SocGen quants on exotics calibration, machine learning and autocallable pricing

    Podcast: SocGen quants on exotics calibration, machine learning and autocallable pricing

    Deep learning techniques are being explored by the quants to speed up exotics pricing

    Sourced through Scoop.it from: www.risk.net

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