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Intel offers up AI Developer Resources in the Cloud

Today at the O’Reilly Artificial Intelligence Conference in San Francisco, Intel’s Lisa Spelman announced the Intel Nervana DevCloud, a cloud-hosted hardware and software platform for developers, data scientists, researchers, academics and startups to learn, sandbox and accelerate development of AI solutions with free compute cloud access powered by Intel Xeon Scalable processors. By providing compute resources for machine learning and deep learning training and inference compute needs, Intel is enabling users to start exploring AI innovation without making their own investments in compute resources up front. In addition to cloud compute resources, frameworks, tools and support are provided.

GPUs Accelerate Population Distribution Mapping Around the Globe

With the Earth’s population at 7 billion and growing, understanding population distribution is essential to meeting societal needs for infrastructure, resources and vital services. This article highlights how NVIDIA GPU-powered AI is accelerating mapping and analysis of population distribution around the globe. “If there is a disaster anywhere in the world,” said Bhaduri, “as soon as we have imaging we can create very useful information for responders, empowering recovery in a matter of hours rather than days.”

The AI Revolution: Unleashing Broad and Deep Innovation

For the AI revolution to move into the mainstream, cost and complexity must be reduced, so smaller organizations can afford to develop, train and deploy powerful deep learning applications. It’s a tough challenge. The following guest article from Intel explores how businesses can optimize AI applications and integrate them with their traditional workloads. 

Machine & Deep Learning: Practical Deployments and Best Practices for the Next Two Years

Arno Kolster from Providentia Worldwide gave this talk at the HPC User Forum in Milwaukee. “Providentia Worldwide is a new venture in technology and solutions consulting which bridges the gap between High Performance Computing and Enterprise Hyperscale computing. We take the best practices from the most demanding compute environments in the world and apply those techniques and design patterns to your business.”

AI Breakthroughs and Initiatives at the Pittsburgh Supercomputing Center

Nick Nystrom and Paola Buitrago from PSC gave this talk at the HPC User Forum in Milwaukee. “The Bridges supercomputer at PSC offers the possibility for experts in fields that never before used supercomputers to tackle problems in Big Data and answer questions based on information that no human would live long enough to study by reading it directly.”

Solving AI Hardware Challenges

For many deep learning startups out there, buying AI hardware and a large quantity of powerful GPUs is not feasible. So many of these startup companies are turning to cloud GPU computing to crunch their data and run their algorithms. Katie Rivera, of One Stop Systems, explores some of the AI hardware challenges that can arise, as well as the new tools designed to tackle these issues. 

New OrionX Survey: Insights in Artificial Intelligence

In this Radio Free HPC podcast, Dan Olds and Shahin Khan from OrionX describe their new AI Survey. “OrionX Research has completed one the most comprehensive surveys to date of Artificial Intelligence, Machine Learning, and Deep Learning. With over 300 respondents in North America, representing 13 industries, our model indicates a confidence level of 95% and a margin of error of 6%. Covering 144 questions/data points, it provides a comprehensive view of what customers are doing and planning to do with AI/ML/DL.”

Call for Participation: GTC 2018 in San Jose

The GPU Technology Conference (GTC 2018) has issued their Call for Participation. The event takes place March 26-29 in San Jose, California. “Don’t miss this unique opportunity to participate in the world’s most important GPU event, NVIDIA’s GPU Technology Conference (GTC 2018). Sign up to present a talk, poster, or lab on how GPUs power the most dynamic areas in computing today—including AI and deep learning, big data analytics, healthcare, smart cities, IoT, HPC, VR, and more.”

Trends in the Worldwide HPC Market

In this video from the HPC User Forum in Milwaukee, Earl Joseph and Steve Conway from Hyperion Research present and update on HPC, AI, and Storage markets. “Hyperion Research forecasts that the worldwide HPC server-based AI market will expand at a 29.5% CAGR to reach more than $1.26 billion in 2021, up more than three-fold from $346 million in 2016.”

Announcing the New MIT–IBM Watson AI Lab

Today IBM announced a 10-year, $240 million investment to create the MIT–IBM Watson AI Lab. “The combined MIT and IBM talent dedicated to this new effort will bring formidable power to a field with staggering potential to advance knowledge and help solve important challenges.”