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Intel Forms New AI Group Reporting Directly To CEO Brian Krzanich

As we have been writing for a while now, artificial intelligence will transform pretty much everything we do in our lives in the next five years. This isn’t some new technology early on the hype curve. AI is actually in use today helping us to match faces, identify photos, videos, the spoken word, doing our …

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Qualcomm’s New Snapdragon 835 Dazzles In GPU Performance

Qualcomm has been known as one of the leading wireless chip suppliers and has also been considered one of the best SoC makers. Qualcomm has shifted from calling the Snapdragon 835 an SoC or chip and transitioned towards calling it a platform. This is fair considering how many different processors reside on a Snapdragon SoC, …

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Why Intel Is Buying Mobileye, And What Does It Need To Do To Be Successful?

In a move that Intel hopes can propel it to the forefront of The Next Big Thing, Intel announced it would purchase Mobileye, an Israeli company that makes sensors and cameras for driverless vehicles. Buying a leader to become a leader is never cheap: Intel will pay $13.3B for the firm, a 34% premium over …

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NVIDIA Introduces Jetson TX2 For Edge Machine Learning With High-Quality Customers

Expanding on their Jetson TX1 and TK1 products for embedded computing, NVIDIA announced last week their Jetson TX2 platform—a hardware and software platform the size of a credit card designed to deliver AI computing at the edge. NVIDIA touts Jetson TX2 as delivering “unprecedented deep learning capabilities,” and based on the form factor, it may …

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RESEARCH PAPER: A Machine Learning Application Landscape

2016 was a strong year for Machine Learning (ML) and Artificial Intelligence (AI) with many high tech firms claiming that they are now an “AI Company”, notably Amazon, Baidu, Facebook, Google, IBM, Intel, Microsoft, NVIDIA, and Tesla. In 2017, the field will broaden to include AMD, Qualcomm, and Xilinx. Moor Insights & Strategy (MI&S) expects Machine Learning based AIs …

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A Machine Learning Landscape: Where AMD, Intel, NVIDIA, Qualcomm And Xilinx AI Engines Live

Without a doubt, 2016 was an amazing year for Machine Learning (ML) and Artificial Intelligence (AI) awareness in the press. But most people probably can’t name 3 applications for machine learning, other than self-driving cars and perhaps their voice activated assistant hiding in their phone. There’s also a lot of confusion about where the Artificial …

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