Welcome to the Momenta Learning News on Machine Learning. This is issue 60, please feel free to share this post.
Google wants to apply its machine learning technology to NHS patient data within the next five years, TechCrunch reports. The search giant's London-based artificial intelligence research lab, DeepMind, announced a partnership with the Royal Free NHS Trust in London in February but the full extent of the arrangement is only just becoming clear.
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A few weeks ago I attended the ToolsGroup Supply Chain Transformation conference in Boston. One of the more interesting sessions I attended was "Predictive Commerce and Machine Learning" featuring ToolsGroup CEO Yossi Shamir. While Yossi obviously touted the benefits of the ToolsGroup product suite, the session focused more on the big concept of why supply chain needs automation now.
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Jun 09, 2016 01:50 AM EDT A team of researchers led by MIT's Katie Bouman have developed a new computer algorithm that could help astronomers generate the first true image of a black hole. At present, astronomers rely of imaginative minds of artists to create a clear image of a black hole.
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We are living in a digital era where Customer is the king. Many businesses have capitulated to this new realm and have started interacting with customers dynamically. Today the customers are free to navigate a merchant (eCommerce) website any way they fancy.
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Researchers in Japan have used a machine-learning method to cut the time it takes to predict the catalytic potential of different metals. Binding between a metal surface and an adsorbate mainly depends on the electronic structure of the metal. More energy at centre of the metal's d-band creates a stronger bond between its surface and the adsorbate.
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You can almost hear the whooshing sound as the technology industry is sprinting to the marketplace with new solutions to help the enterprise garner useful and intelligent insights from their data. Analytics, Machine Learning (ML) and Artificial Intelligence (AI) delivered in a simplistic form is what companies are demanding.
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Computers generally don't take sick days or pass on germs, most of the time they don't argue or answer back and they never have hangovers or wake up in a bad mood. In theory that could make them the perfect digital co-worker. But there is a problem.
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In today's digitally driven world, enterprises need to find ways to extract valuable insights from huge amounts of data. That data is both generated within the organization and captured from external sources, from every application and social media to the networks of sensors that constitute the Internet of Things (IoT).
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It's every marketer's goal to reach customers in the right place, at the right time, and with the right message, but the online world doesn't make that easy. A new tool announced Thursday uses machine learning to help.
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NOVI, MI - Machine learning might sound like the backdrop to a dark science-fiction movie, but Mercedes-Benz believes putting the technology into to its cars and trucks will make the everyday grind go more smoothly. "Machine learning can simplify and personalize the driver experience," says Kal Mos, vice president-North America R&D at Mercedes-Benz.
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