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What Developers Need to Consider When Exploring Machine Learning

Frameworks, applications, libraries and toolkits—journeying through the world of deep learning can be daunting. If you’re trying to decide whether or not to begin a machine or deep learning project, there are several points that should first be considered. This is the first article in a five-part series that covers the steps to take before launching a machine learning startup. 

Radio Free HPC Looks at AI Ethics and a Tale of Henry’s Super Heroism

In this podcast, the Radio Free HPC team learns about Henry’s first exploit as an Ethical Superhero. “After witnessing a hit-and-run fender bender, Henry confronted the culprit and ensured that the miscreant left a note on the victim’s windshield. And while we applaud Henry for his heroism, we are also very grateful that he was not shot in the process. This tale leads us into a discussion of AI ethics and how we won’t have this problem in the coming era of self-driving cars.”

Go with Intel® Data Analytics Acceleration Library and Go*

Use of the Go* programming language and it’s developer community has grown significantly since it’s official launch by Google in 2009. Like many popular programming languages (C and Java come to mind), Go started as an experiment to design a new programming language that would fix some of the common problems of other languages and yet stay true to the basic tenets of modern programming: be scalable, productive, readable, enable robust development environments, and support networking and multiprocessing.

Nvidia Volta GPUs Power HPC & AI at ISC 2017

In this video from ISC 2017, Keith Morris from NVIDIA describes how the company’s next-generation Volta GPU technology will drive HPC and AI applications to new levels of performance. “GV100 not only builds upon the advances of its predecessor, the Pascal GP100 GPU, it significantly improves performance and scalability, and adds many new features that improve programmability. These advances will supercharge HPC, data center, supercomputer, and deep learning systems and applications.”

DDN: Enabling Scientific Discovery and Exascale Initiatives

Alex Bouzari gave this talk at the DDN User Group. “The goal of the event is to gather the community during ISC to discover how HPC organizations are assessing and leveraging technology to raise the bar on HPC innovations and best practices. From exciting user presentations to engaging roundtable conversations and groundbreaking technology updates, this can’t-miss event delivers the ideas and inspiration to help your cutting-edge HPC initiatives transform the world.”

Deep Learning Comes to the Student Cluster Competition

“We decided to use a slightly more interesting use case of solving for Captcha because it not only highlights the power of deep learning to be a useful tool create models to recognize and classify unwieldy data, such as distorted characters, grainy images and overlapping characters, but it also demonstrates that it is possible for this powerful technology to be used in less positive ways, such as solving for security or privacy. Realizing that everyone has access to the tools we use to move society forward, we need to be aware of the possible mis-use, especially as it becomes more pervasive across industry, healthcare, financial services, and the like.”

NVIDIA and Baidu Partner Up to Accelerate AI

Today NVIDIA and Baidu today announced a broad partnership to bring the world’s leading artificial intelligence technology to cloud computing, self-driving vehicles and AI home assistants. “We believe AI is the most powerful technology force of our time, with the potential to revolutionize every industry. Our collaboration aligns our exceptional technical resources to create AI computing platforms for all developers – from academic research, startups creating breakthrough AI applications, and autonomous vehicles.”

How Intel is bringing AI & Machine Learning to the People

In this video from ISC 2017, Pradeep Dubey, Intel Fellow and Director of the Parallel Computing Lab at Intel, discusses how artificial intelligence impacts a wide range of industries and is driving the need for massive amounts of compute power enabled by Intel.

Exxact Corporation offers NVIDIA DGX Station and DGX-1 for Deep Learning

Today Exxact Corporation announced that it will offer the new NVIDIA DGX Station and DGX-1 systems featuring the NVIDIA Tesla V100 data center GPUs based on the NVIDIA Volta architecture. “NVIDIA’s DGX portfolio is paving the way for a new era of computing,” said Jason Chen, Vice President of Exxact Corporation. “The performance of the new DGX Station and DGX-1 systems for AI and advanced analytics is unmatched, providing data scientists a complete hardware and software package for compute-intensive AI exploration.”

Riding the Wave of Machine Learning and Deep Learning

Artificial intelligence (AI) and machine learning — decades-old technologies that are now electrifying the computing industry — for all intents and purposes, seem to be in the process of transforming corporate America. This article is part of a special insideHPC report that explores trends in machine learning and deep learning.