Blog

Apr 06, 2018   |   Prakash Mallya

AI Development in India’s Ecosystem

A recent Intel India commissioned report, undertaken by the International Data Corporation (IDC) that surveyed 194 Indian organizations across sectors, unveiled an increasing appetite toward the adoption of Artificial Intelligence (AI)—which in turn, is expected to spike organization spends on such technology over the next 18 months. The report shows that India is gearing up…

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#Global

Apr 06, 2018   |   Raddaoui Ala

Let's Flow within Kubeflow

In this blog post, we will go through how to train MNIST using distributed Tensorflow* and Kubeflow* from scratch. Introduction Machine learning (ML) and deep learning (DL) have been around for more than half a century now, yet it is just as of late that these ideas have begun to flourish—thanks to advancements in compute…

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#Tutorial

Apr 02, 2018   |   Bharat Kaul

Neuroscience to Computer Science: An Update from AI Research at Intel

Artificial Intelligence (AI) is poised to have a transformative effect on human civilization. Enabled by decades of research, AI adoption is now accelerating due to the availability of exascale computing, the explosion of big data, and the emergence of algorithms that can take advantage of these compute and data resources. The disruptive transformation may manifest…

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#Research

Mar 27, 2018   |   Balaji Subramaniam, Ajay Deshpande

Kubernetes Volume Controller (KVC): Data Management Tailored for Machine Learning Workloads in Kubernetes

In this blog post, we describe Kubernetes Volume Controller (KVC). It is an open source project we’ve developed, which provides basic volume and data management in Kubernetes tailored towards machine learning (ML) workloads and pipelines.   Why Should I Care? Data is an important component in ML workloads and pipelines. Typically, data scientists and ML…

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#Technical Blog

Mar 26, 2018   |   David Austin

A Titanic Win at Kaggle’s Iceberg Classifier Challenge

Recently, my teammate Weimin Wang and I competed in Kaggle’s Statoil/C-CORE Iceberg Classifier Challenge. The competition challenged participants to classify images acquired from C-band radar and was the most participated in image classification competition that Kaggle has ever hosted—so I’m very excited to announce that we won 1st place out of 3,343 teams! Now we’d…

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#Solutions

Mar 21, 2018   |   Prashant Shah

AI-Enhanced Medical Imaging to Improve Radiology Workflows

As the amount of medical imaging data continues to increase, so does the workload of radiologists. Radiologists are being asked to participate more in patient care, while handling more and more imaging studies. What if AI technology could help radiologists get their jobs done faster and more accurately? Deep learning and other forms of artificial…

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#Solutions

Mar 20, 2018   |   Gadi Singer

HPC and AI: Intertwined Futures

Our AI future is closer than it seems. AI is already delivering transformational impact to a variety of industry segments—from health and precision medicine to transportation and autonomous vehicles. As AI technologies continue to mature and diffuse, we will continue to see novel new applications, as well as integrations with existing workloads and technology segments.…

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#Technology

Mar 19, 2018   |   Scott Cyphers

nGraph: A New Open Source Compiler for Deep Learning Systems

We are pleased to announce the open sourcing of nGraph, a framework-neutral Deep Neural Network (DNN) model compiler that can target a variety of devices. With nGraph, data scientists can focus on data science rather than worrying about how to adapt their DNN models to train and run efficiently on different devices. Continue reading below…

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#Technology

Mar 13, 2018   |   Casimir Wierzynski

Deep Learning to Study the Brain to Improve...Deep Learning

The interplay between AI and neuroscience is one of my favorite topics, and one that several of us on the AI team at Intel have personally worked on. I'm excited to share news about a new collaboration between Intel and MIT research labs designed to advance both of these fields. Before I do, I'd like to…

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#Technical Blog

Mar 08, 2018   |   Vivek Rane, AG Ramesh

TensorFlow* Optimizations for the Intel® Xeon® Scalable Processor

TensorFlow* is one of the leading deep learning and machine learning frameworks today. Earlier in 2017, Intel worked with Google to incorporate optimizations for Intel® Xeon® and Xeon Phi™ processor based platforms using Intel® Math Kernel Libraries (Intel® MKL).  These optimizations resulted in orders of magnitude improvement in performance - up to 70x[1] higher performance…

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#Technical Blog