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FPGAs Speed Machine Learning at SC16 Intel Discovery Zone

In this video from SC16, Intel demonstrates how Altera FPGAs can accelerate Machine Learning applications with greater power efficiency. “The demo was put together using OpenCL design tools and then compiled to FPGA. From an end-user perspective, they tied it together using Intel MKL-DNN with CAFFE on top of that. This week, Intel announced the DLIA Deep Learning Inference Accelerator that brings the whole solution together in a box.”

Pikazo: Deep Neural Network Art on Intel Architecture

In this video from the Intel HPC Developer Conference, Noah Rosenberg and Karl Stiefvater from Pikazo describe the company’s innovative Pikazo App for smartphones. “Pikazo was developed in 2015 using neural style transfer algorithms. It is a collaboration between human, machine, and our concept of art. It is a universal art machine that paints any image in the style of any other, producing sometimes-beautiful, sometimes-disturbing, always-surprising artworks. Pikazo allows novice artists to create impressive imagery via a technique known as neural style transfer.”

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

Intel Corporation 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).

Data Analytics, Machine Learning, and HPC in Today’s Changing Application Environment

In this video from the Intel HPC Developer Conference, Franz Kiraly from Imperial College London and the Alan Turing Institute describes why many companies and organizations are beginning to scope their potential for applying rigorous quantitative methodology and machine learning.

Performance Optimization of Deep Learning Frameworks on Modern Intel Architectures

In this video from the Intel HPC Developer Conference, Elmoustapha Ould-ahmed-vall from Intel describes how the company is doubling down to optimize Machine Learning frameworks for Intel Platforms. Using open source frameworks as a starting point, surprising speedups are possible using Intel technologies.

The Rise of Deep Learning for Healthcare and Life Sciences

The insideBIGDATA Guide to Healthcare & Life Sciences is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting new area of technology. This segment focuses on the rise of deep learning.

insideBIGDATA Guide to Healthcare & Life Sciences

The insideBIGDATA Guide to Healthcare & Life Sciences is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting new area of technology. The guide provides an overview of the utilization of big data technologies as an emerging discipline in healthcare and life sciences. It explores the characteristics of this business strategy and the benefits of leveraging big data technologies within these sectors. It also touches on the challenges and future directions of big data and analytics in the healthcare and life sciences industries.

Intel Xeon Phi Processor Code Modernization Nets Over 55x Faster NeuralTalk2 Image Tagging

“Benchmarks, customer experiences, and the technical literature have shown that code modernization can greatly increase application performance on both Intel Xeon and Intel Xeon Phi processors. Colfax Research recently published a study showing that image tagging performance using the open source NeuralTalk2 software can be improved 28x on Intel Xeon processors and by over 55x on the latest Intel Xeon Phi processors.”

Intel Scalable System Framework Facilitates Deep Learning Performance

In this special guest feature, Rob Farber from TechEnablement writes that the Intel Scalable Systems Framework is pushing the boundaries of Machine Learning performance. “machine learning and other data-intensive HPC workloads cannot scale unless the storage filesystem can scale to meet the increased demands for data.”

Adding Security and More to Intel® Enterprise Edition for Lustre* Software version 3.0

Intel Enterprise Edition for Lustre* Software has taken a leap toward greater enterprise capabilities and improved features for HPC with release of version 3.0. This latest version includes new security enhancements, dynamic LNET configuration support, ZFS snapshots, and other features asked for by the HPC community inside and outside the enterprise. Additionally, it adds the Intel Omni-Path Architecture drivers.