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Podcast: Intel Doubles Down on Artificial Intelligence - insideHPC

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In this Chip Chat podcast, Diane Bryant, EVP/GM for the Data Center Group at Intel, discusses how the company is driving the future of artificial intelligence by delivering breakthrough performance from best-in-class silicon, democratizing access to technology, and fostering beneficial uses of AI. Bryant also outlines her vision for AI's ability to fundamentally transform the way businesses operate and people engage with the world. At an AI event in November, Intel CEO Brian Krzanich shared how both the promise and complexities of AI require an extensive set of leading technologies to choose from and an ecosystem that can scale beyond early adopters. As algorithms become complex and required data sets grow, Krzanich said Intel has the assets and know-how required to drive this computing transformation. At the event, Bryant also announced that Intel expects the next generation of Intel Xeon Phi processors (code-named "Knights Mill") will deliver up to 4x better performance1 than the previous generation for deep learning and will be available in 2017.


Intel's Optimized Tools and Frameworks for Machine Learning and Deep Learning

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This article gives an introduction to the Intel's optimized machine learning and deep learning tools and frameworks and also gives a description of the Intel's libraries that have been integrated into them so they can take full advantage and run fastest on Intel architecture. This information will be useful to first-time users, data scientists, and machine learning practitioners, for getting started with Intel optimized tools and frameworks. Machine learning (ML) is a subset of the more general field of artificial intelligence (AI). ML is based on a set of algorithms that learn from data. Deep learning (DL) is a specialized ML technique that is based on a set of algorithms that attempt to model high-level abstractions in data by using a graph with multiple processing layers (https://en.wikipedia.org/wiki/Deep_learning).


How to Get Started as a Developer in AI

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The promise of artificial intelligence has captured our cultural imagination since at least the 1950s--inspiring computer scientists to create new and increasingly complex technologies, while also building excitement about the future among regular everyday consumers. What if we could explore the bottom of the ocean without taking any physical risks? While our understanding of AI--and what's possible--has changed over the the past few decades, we have reason to believe that the age of artificial intelligence may finally be here. So, as a developer, what can you do to get started? While there are a lot of different ways to think about AI and a lot of different techniques to approach it, the key to machine intelligence is that it must be able to sense, reason, and act, then adapt based on experience.


Intel Works To Gain An Upper Hand Over Nvidia In The Data Center Coprocessor Market

Forbes

Though Intel is the leader in data centers microprocessor market, with more than 90% market share, it has more recently lagged in the market for coprocessors, where Nvidia has generated momentum. While Intel witnessed a mere 13% year over year growth in its revenue from the Data Center Group in Q3 2017, Nvidia data center revenues nearly tripled during the same period. Earlier this year, Intel announced the acquisition of the deep learning technology startup Nervana Systems. According to Diane Bryant, executive vice president and general manager of Intel's Data Center Group, Nervana has a fully-optimized software and hardware stack for deep learning and has the advanced expertise in accelerating deep learning algorithms, which can help Intel expand its capabilities in the field of AI (artificial intelligence).


Artificial intelligence is now Intel's major focus

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At the forefront of these AI ambitions is a new platform called Nervana, which follows Intel's acquisition of deep-learning startup Nervana Systems earlier this year. Setting its sights on an area currently dominated by Nvidia's graphics processing unit (GPU) technology, one of the Nervana platform's main focuses will be deep learning and training neural networks – the software process behind machine learning that is based on a set of algorithms that attempt to model high-level abstractions in data. Google, for instance, is investing heavily in research exploring virtually all aspects of machine learning, including deep learning and more classical algorithms, something it calls "Machine Intelligence". One way is in manufacturing, as intelligent computer systems replace certain human-operated jobs.


Intel Unveils Strategy for State-of-the-Art Artificial Intelligence

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Intel announces AI strategy to drive breakthrough performance, democratize access and maximize societal benefits. Intel introduces industry's most comprehensive data center compute portfolio for AI: the new Intel Nervana platform. Intel aims to deliver up to 100x reduction in the time to train a deep learning model over the next three years compared to GPU solutions. Intel reinforces commitment to an open AI ecosystem through an array of developer tools built for ease of use and cross-compatibility, laying the foundation for greater innovation. Intel announces AI strategy to drive breakthrough performance, democratize access and maximize societal benefits.


Artificial intelligence is now Intel's major focus

#artificialintelligence

At the forefront of these AI ambitions is a new platform called Nervana, which follows Intel's acquisition of deep-learning startup Nervana Systems earlier this year. Setting its sights on an area currently dominated by Nvidia's graphics processing unit (GPU) technology, one of the Nervana platform's main focuses will be deep learning and training neural networks – the software process behind machine learning that is based on a set of algorithms that attempt to model high-level abstractions in data. Google, for instance, is investing heavily in research exploring virtually all aspects of machine learning, including deep learning and more classical algorithms, something it calls "Machine Intelligence". One way is in manufacturing, as intelligent computer systems replace certain human-operated jobs.


Intel Launches Nervana Artificial Intelligence Platform - Cloud Computing on Top Tech News

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Tech giant Intel has announced a new strategy focused on artificial intelligence (AI) and based on a new portfolio of technologies centered on its recent acquisition of AI company Nervana Systems. The new portfolio will include products and services for everything from network edge to data center use cases to help accelerate the growth of AI technologies. "Intel sees AI transforming the way businesses operate and how people engage with the world," the company said in a statement yesterday. "Intel is assembling the broadest set of technology options to drive AI capabilities in everything from smart factories and drones to sports, fraud detection and autonomous cars." Dubbed Intel Nervana, the new platform comes courtesy of the company's acquisition of the two-year-old Nervana Systems announced three months ago.


Intel Unveils Strategy for State-of-the-Art Artificial Intelligence

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SAN FRANCISCO, Nov. 17, 2016 – Intel Corporation today announced a range of new products, technologies and investments from the edge to the data center to help expand and accelerate the growth of artificial intelligence (AI). Intel sees AI transforming the way businesses operate and how people engage with the world. Intel is assembling the broadest set of technology options to drive AI capabilities in everything from smart factories and drones to sports, fraud detection and autonomous cars. At an industry gathering led by Intel CEO Brian Krzanich, Intel shared how both the promise and complexities of AI require an extensive set of leading technologies to choose from and an ecosystem that can scale beyond early adopters. As algorithms become complex and required data sets grow, Krzanich said Intel has the assets and know-how required to drive this computing transformation.


Intel Launches Nervana Artificial Intelligence Platform NewsFactor Network

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"Intel sees AI transforming the way businesses operate and how people engage with the world," the company said in a statement yesterday. "Intel is assembling the broadest set of technology options to drive AI capabilities in everything from smart factories and drones to sports, fraud detection and autonomous cars." Dubbed Intel Nervana, the new platform comes courtesy of the company's acquisition of the two-year-old Nervana Systems announced three months ago. The platform will be optimized for AI workloads with an emphasis on both speed and ease of use. The first product in the platform, a chip codenamed "Lake Crest," will begin testing in the first half of next year and will eventually be available to key customers later that year, according to Intel.