Intel Nervana

Aug 07, 2017   |   Kyle Ambert

Convolutional Neural Networks, Part 1: Historical Significance

Convolutional Neural Networks (CNNs) are one of the more popular techniques used in image recognition and computer vision systems today, and they're historically significant in the field of data science. However, they can be one of the most misunderstood tools in the data science tool chest. Here, I’ll provide sufficient historical context for understanding why…

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Frontier Development Lab

Jul 31, 2017   |   Shashi Jain, Katie Fritsch

Prospecting for Space Resources with Intel® Nervana™

We live in an exciting time for commercial space exploration. Every week, we see exciting leaps forward: reusable rockets, plans to mine the moon, and missions to colonize Mars. Sound like science fiction? It’s not. A little-known NASA program is there to accelerate the pace of that innovation. The NASA Frontier Development Laboratory (FDL), run…

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Jul 24, 2017   |   Pradeep Dubey

Ushering in the convergence of AI and HPC: What will it take?

We have entered the era of AI. The abundance of data and algorithmic innovations powered through deep learning have led to a sharp increase in the need for compute to train increasingly deep networks. However, commonly used deep neural networks are not easy to scale for a fixed size problem onto a large system with…

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Jul 22, 2017   |   Jessica Rosenthal

Intel Demonstrates Latest AI & Computer Vision Tech at CVPR

The 2017 Conference on Computer Vision and Pattern Recognition (CVPR 2017) will be taking place on July 21-26th in Honolulu, Hawaii. CVPR is known as the premier annual computer vision event consisting of poster sessions, co-located workshops, and tutorials. Intel will have strong presence at the event through its Intel® Nervana™ Platinum Sponsorship, accepted research papers, EXPO…

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Jul 20, 2017   |   Gary Brown

Introducing: Movidius™ Neural Compute Stick

I’m thrilled to announce the availability of the Movidius™ Neural Compute Stick, a new device for developing and deploying deep learning algorithms at the edge. We created the Neural Compute Stick (NCS) to make deep learning application development on specialized hardware even more widely available. The NCS is powered by the same low-power Movidius Vision Processing…

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#Intel Movidius #Product News

Jul 13, 2017   |   Scott Leishman

Introducing the aeon dataloader and other enhancements in Nervana Cloud 1.5.0

Nervana Cloud 1.5.0 contains enormous under-the-hood changes and improvements.  We’ve revamped and updated a lot of the core underlying code, separated the various application components into their own microservices, re-written our job launcher, added support for a new container orchestration service, squashed more than 75 bugs, and greatly expanded our testing coverage. The biggest changes…

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#Intel DL Cloud & Systems

Jun 28, 2017   |   Jayaram Bobba

neon™ 2.0: Optimized for Intel® Architectures

neon™ is a deep learning framework created by Nervana Systems with industry leading performance on GPUs thanks to its custom assembly kernels and optimized algorithms. After Nervana joined Intel, we have been working together to bring superior performance to CPU platforms as well. Today, after the result of a great collaboration between the teams, we…

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#Release Notes

Jun 22, 2017   |   Jason Knight

Intel® Nervana™ Graph Beta

We are building the Intel Nervana Graph project to be the LLVM for deep learning, and today we are excited to announce a beta release of our work we previously announced in a technical preview. We see the Intel Nervana Graph project as the beginning of an ecosystem of optimization passes, hardware backends and frontend…

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#neon #nGraph

Jun 19, 2017   |   Urs Köster

Training Generative Adversarial Networks in Flexpoint

Training Generative Adversarial Networks in Flexpoint With the recent flood of breakthrough products using deep learning for image classification, speech recognition and text understanding, it’s easy to think deep learning is just about supervised learning. But supervised learning requires labels, which most of the world’s data does not have. Instead, unsupervised learning, extracting insights from…

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#Flexpoint #GANs

Jun 15, 2017   |   Naveen Rao

Comparing dense compute platforms for AI

In the world of artificial intelligence, there has been a lot of talk about performance and capabilities of hardware platforms.  It is true that today’s computing power is what allowed the AI revolution to (re)happen and this is a combination of 1) increased data set sizes, and 2) high-density compute.  In this blog, I’d like…

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#Intel Nervana NNP