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FPGAs Focal Point for Efficient Neural Network Inference

January 26, 2017 Nicole Hemsoth Prickett Comments Off on FPGAs Focal Point for Efficient Neural Network Inference

Over the last couple of years, we have focused extensively on the hardware required for training deep neural networks and other machine learning algorithms. …

AI

Refining Oil and Gas Discovery with Deep Learning

January 24, 2017 Nicole Hemsoth Prickett 1

Over the last two years, we have highlighted deep learning use cases in enterprise areas including genomics, large-scale business analytics, and beyond, but there are still many market areas that are still building a profile for where such approaches fit into existing workflows. …

AI

The Road Ahead for Deep Learning in Healthcare

January 9, 2017 Nicole Hemsoth Prickett Comments Off on The Road Ahead for Deep Learning in Healthcare

While there are some sectors of the tech-driven economy that thrive on rapid adoption on new innovations, other areas become rooted in traditional approaches due to regulatory and other constraints. …

AI

Building Intelligence into Machine Learning Hardware

December 5, 2016 Ben Cotton 2

Machine learning is a rising star in the compute constellation, and for good reason. …

AI

Nvidia CEO’s “Hyper-Moore’s Law” Vision for Future Supercomputers

November 28, 2016 Nicole Hemsoth Prickett Comments Off on Nvidia CEO’s “Hyper-Moore’s Law” Vision for Future Supercomputers

Over the last year in particular, we have documented the merger between high performance computing and deep learning and its various shared hardware and software ties. …

AI

Inside Intel’s Strategy to Integrate Nervana Deep Learning Assets

November 22, 2016 Nicole Hemsoth Prickett 5

There is little doubt that 2017 will be a dense year for deep learning. …

AI

Mainstreaming Machine Learning: Emerging Solutions

November 1, 2016 Thomas Dinsmore Comments Off on Mainstreaming Machine Learning: Emerging Solutions

In the course of this three-part series on the challenges and opportunities for enterprise machine learning, we have worked to define the landscape and ecosystem for these workloads in large-scale business settings and have taken an in-depth look at some of the roadblocks on the path to more mainstream machine learning applications. …

AI

Major Roadblocks on the Path to Machine Learning

October 31, 2016 Thomas Dinsmore 2

In part one of this series last week, we discussed the emerging ecosystem of machine learning applications and what promise those portend. …

AI

The New Intelligence Economy, And How We Get There

October 28, 2016 Mark Hammond Comments Off on The New Intelligence Economy, And How We Get There

Earlier this month, Samsung acquired Viv, the AI platform built by the creators of Siri that seeks to “open up the world of AI assistants to all developers. …

AI

The State of Enterprise Machine Learning

October 26, 2016 Thomas Dinsmore 2

For a topic that generates so much interest, it is surprisingly difficult to find a concise definition of machine learning that satisfies everyone. …

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The Next Platform is part of the Situation Publishing family, which includes the enterprise and business technology publication, The Register.

TNP  offers in-depth coverage of high-end computing at large enterprises, supercomputing centers, hyperscale data centers, and public clouds. Read more…

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