The head of Intel’s data center group was at Computex in Taipei this week, in part to explain how the company's latest Xeon Phi processor is a good fit for machine learning. Machine learning is the process by which companies like Google and Facebook train software to get better at performing AI tasks including computer vision and understanding natural language. It’s key to improving all kinds of online services. It requires a massive amount of computing power, and Bryant says the 72 cores and strong floating point performance of Intel’s new ‘Knight’s Landing’ Xeon Phi, released six months ago, give it an excellent performance-per-watt-per-dollar ratio for training machine learning algorithms. Read more about this at http://www.computerworld.com/article/3078160/artificial-intelligence/intels-data-center-chief-talks-about-machine-learning-without-gpus.html
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