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Deep-learning artificial intelligence - Can We Open the Black Box of AI? the plastic brain

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"Sandia National Laboratories researchers are drawing inspiration from neurons in the brain, such as these green fluorescent protein-labeled neurons in a mouse neocortex, with the aim of developing neuro-inspired computing systems to reboot computing. "Summary: Researchers explore neural computing to extend Moore's Law. Sandia explores neural computing to extend Moore's Law. Computation is stuck in a rut. The integrated circuits that powered the past 50 years of technological revolution are reaching their physical limits.


Azure is becoming the first AI supercomputer, says Microsoft

ZDNet

You may have thought it was just a cloud computing service, but Microsoft's Azure Cloud is on its way to become the first artificial intelligence supercomputer, according to the company's CEO Satya Nadella. At an event in Dublin, Nadella discussed how Microsoft's cloud computing offering underpins a new wave of applications that use AI technologies. "Ultimately the cloud is about powering the next generation of applications," he said. "It is always the next generation applications that have driven infrastructure and when we look at this current generation of applications that people are building, the thing that is going to define these applications, that characterises these applications, is machine learning and artificial intelligence. Therefore we are building out Azure as the first AI supercomputer."


AI Computing Takes Center Stage at GTC China NVIDIA Blog

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Kicking off the first in a series of global GPU Technology Conferences, NVIDIA co-founder and CEO Jen-Hsun Huang today at GTC China unveiled technology that will accelerate the deep learning revolution that is sweeping across industries. Huang spoke in front of a crowd of more than 2,500 scientists, engineers, entrepreneurs and press, gathered in Beijing for a day devoted to deep learning and AI. On stage he announced the Tesla P4 and P40 GPU accelerators for inferencing production workloads for AI services and, a small, energy-efficient AI supercomputer for highway driving -- the NVIDIA DRIVE PX 2 for AutoCruise. The new Tesla GPUs deliver massive leaps in efficiency and speed -- 45x compared to CPU-only systems -- for inferencing production workloads for AI services like voice-activated applications and movie and product recommendation engines. And they do it at a fraction of the cost of CPU systems.


Supermicro(R) Introduces NVIDIA(R) Pasca(TM) GPU-Enabled Server Solutions Featuring NVIDIA Tesla(R) P100 GPUs

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Super Micro Computer, Inc. (SMCI), a global leader in compute, storage, networking technologies and green computing today announced the general availability of its SuperServer solutions optimized for NVIDIA Tesla P100 accelerators with the new Pascal GPU architecture. Supermicro's innovative and GPU optimized single root complex PCI-E design is proven to dramatically improve GPU peer-to-peer communication efficiency over QPI and PCI-E links, with up to 21% higher QPI throughput and 60% lower latency compared to previous generation products. "Our high-performance computing solutions enable deep learning, engineering, and scientific fields to scale out their compute clusters to accelerate their most demanding workloads and achieve fastest time-to-results with maximum performance-per-watt, per-square-foot, and per-dollar," said Charles Liang, President and CEO of Supermicro. "With our latest innovations incorporating the new NVIDIA P100 GPUs, our customers can accelerate their applications and innovations to solve the most complex real world problems." "Supermicro's new high-density servers are optimized to fully leverage the new NVIDIA Tesla P100 accelerators to provide enterprise and HPC customers with an entirely new level of computing horsepower," said Ian Buck, General Manager of the Accelerated Computing Group at NVIDIA.


From recording to reacting: Neural networks are changing notions of surveillance

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Jack Dashwood is the marcom director for computer vision company Movidius. There are an estimated 30 million surveillance cameras in the U.S. today. Out of these 30 million cameras, only 5 percent are monitored by a human at any given time. Instead, the majority of them are simply recording footage, providing little value other than evidence long after any kind of crime or accident has occurred. What this means is that today's "security" systems are mostly just a vast network of evidence collection devices, constantly recording and dumping data into hard drives, only to be retrieved after something regrettable has happened.


Machine Learning for Everyone

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A lot of the computational plumbing that powers Google owes something to Jeff Dean. He built early versions of the company's Web search and ad systems. And he invented MapReduce, a system for working with big data sets that triggered a major shift across the computing industry. Dean is now laboring to reinvent the inner workings of Google and the wider world all over again. He leads the Google Brain research group, which aims to advance machine learning--the art of making software figure out how to do things for itself instead of being explicitly programmed.


With Machine Learning, Microsoft Takes Holistic Approach to Security -- Redmond Channel Partner

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CEO Satya Nadella's 1 billion security initiative yields fruit with the Azure Security Center, powered by the technology behind Azure Machine Learning. Microsoft CEO Satya Nadella late last year outlined the company's 1 billion investment in a new, holistic, operations-centric approach to addressing cybersecurity with the formation of its Enterprise Cybersecurity Group (ECG). Until this point, the Trustworthy Computing Initiative launched in 2002 by co-founder Bill Gates was largely at the center of the Microsoft security universe. That paved the way for the Security Development Lifecycle (SDL) -- the companywide blueprint for how all of Microsoft's software would be architected, built and maintained. Consequently, SDL is baked into the Microsoft delivery model, and new versions of products ranging from SQL Server to Windows are markedly more secure than the last.