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In the News

GOAI: Open GPU-Accelerated Data Analytics
Jun 12, 2017

Nvidia - Recently, Continuum Analytics, H2O.ai, and MapD announced the formation of the GPU Open Analytics Initiative (GOAI).

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The Cognitive Systems/500 2018 Edition
Jun 12, 2017

IT Jungle - Take a hard look at how the IBM i platform is packaged and priced and how a modern integrated platform should be architected

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Top 100 Most Disruptive Companies in the World in 2017
Jun 8, 2017

Disruptor Daily - The world of technology is changing at super speed from biotech to artificial intelligence to computing and beyond.

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Data Science on GPU
May 24, 2017

Slideshare - This talk will address new advances in how data science is leveraging GPUs to solve complicated problems.

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32 Optometrists without Indoor Plumbing and Other Facts You Can Find in Census Data
May 22, 2017

Nextgov - MapD created a dashboard that lets you dig into data from the American Community Survey, administered yearly by the Census Bureau.

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How Open-Source GPUs Could Speed Deep Learning, Big Data Analytic
May 15, 2017

RTInsights - An open-source GPU initiative could drastically speed analytics, including analyses using deep learning

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Data Science and Deep Learning Leaders Create GPU Open Analytics Initiativee
May 11, 2017

RTInsights - Continuum Analytics, H2O.ai and MapD Technologies create open common data frameworks for GPU in-memory analytics

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Nvidia reaches out to VCs to fund and build the AI ecosystem
May 11, 2017

VentureBeat - MapD recently closed a $25 million round led by NEA, and it has open-sourced its platform.

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Data Science and Deep Learning Application Leaders Form GPU Open Analytics Initiative
May 10, 2017

Dataversity - Continuum Analytics, H2O.ai, and MapD Technologies have announced the formation of the GPU Open Analytics Initiative (GOAI) to create common data frameworks enabling developers and statistical researchers to accelerate data science on GPUs.

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MapD Open Sources GPU-Powered Database
May 10, 2017

Linux.com - Since starting work on MapD more than five years ago while taking a database course at MIT, I had always dreamed of making the project open source.

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