Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


Podcast: How Deep Learning Will Reshape Our Cities

In this AI Podcast, Lynn Richards, president and CEO of the Congress for New Urbanism and Charles Marohn, president and co-founder of Strong Towns, describe how AI will reshape our cities. “AI will do much more than automate driving. It promises to help create more liveable cities. And help put expensive infrastructure where we need it most.”

Mellanox Ethernet Accelerates Baidu Machine Learning

Today Mellanox announced that Spectrum Ethernet switches and ConnectX-4 100Gb/s Ethernet adapters have been selected by Baidu, the leading Chinese language Internet search provider, for Baidu’s Machine Learning platforms. The need for higher data speed and most efficient data movement placed Spectrum and RDMA-enabled ConnectX-4 adapters as key components to enable world leading machine learning […]

Podcast: Engineering Practical Machine Learning Systems

In This Week in Machine Learning podcast, Xavier Amatriain from Quora discusses the process of engineering practical machine learning systems. Amatriainis a former machine learning researcher who went on to lead the recommender systems team at Netflix, and is now the vice president of engineering at Quora, the Q&A site. “What the heck is a multi-arm bandit and how can it help us.”

Experts Weigh in on 2017 Artificial Intelligence Predictions

In this presentation from Nvidia, top AI experts from the world’s most influential companies weigh in on predicted advances for AI in 2017. “In 2017, intelligence will trump speed. Over the last several decades, nations have competed on speed, intent to build the world’s fastest supercomputer,” said Ian Buck, VP of Accelerated computing at Nvidia. “In 2017, the race will shift. Nations of the world will compete on who has the smartest supercomputer, not solely the fastest.”

AMD Unveils Vega GPU Architecure with HBM Memory

Today AMD unveiled preliminary details of its forthcoming GPU architecture, Vega. Conceived and executed over 5 years, Vega architecture enables new possibilities in PC gaming, professional design and machine intelligence that traditional GPU architectures have not been able to address effectively. “It is incredible to see GPUs being used to solve gigabyte-scale data problems in gaming to exabyte-scale data problems in machine intelligence. We designed the Vega architecture to build on this ability, with the flexibility to address the extraordinary breadth of problems GPUs will be solving not only today but also five years from now. Our high-bandwidth cache is a pivotal disruption that has the potential to impact the whole GPU market,” said Raja Koduri, senior vice president and chief architect, Radeon Technologies Group, AMD.

Video: How AI can bring on a second Industrial Revolution

“The AI is going to flow across the grid — the cloud — in the same way electricity did. So everything that we had electrified, we’re now going to cognify. And I owe it to Jeff, then, that the formula for the next 10,000 start-ups is very, very simple, which is to take x and add AI. That is the formula, that’s what we’re going to be doing. And that is the way in which we’re going to make this second Industrial Revolution. And by the way — right now, this minute, you can log on to Google and you can purchase AI for six cents, 100 hits. That’s available right now.”

Podcast: Intel Invests Upstream to Accelerate AI Innovation

In this Intel Chip Chat, Doug Fisher from Intel describes the company’s efforts to accelerate innovation in artificial intelligence. “Fisher talks about Intel’s upstream investments in academia and open source communities. He also highlights efforts including the launch of the Intel Nervana AI Academy aimed at developers, data scientists, academia, and startups that will broaden participation in AI. Additionally, Fisher reports on Intel’s engagements with open source ecosystems to optimize the performance of the most-used AI frameworks on Intel architecture.”

insideBigData Industry Predictions for 2017

In this special guest feature, Daniel Gutierrez from insideBIGDATA offers up his 2017 roundup industry predictions from Big Data thought leaders. “AI, ML, and NLP innovations have really exploded this past year but despite a lot of hype, most of the tangible applications are still based on specialized AI and not general AI. We will continue to see new use-cases of such specialized AI across verticals and key business processes. These use-cases would primarily be focused on the evolutionary process improvement side of the digital transformation.”

HPE IDOL Machine Learning Engine Adds Natural Language Processing

“Building on HPE IDOL’s history of delivering industry-leading analytics engineered for human data, IDOL Natural Language Question Answering is the industry’s first comprehensive approach to delivering enterprise class answers,” said Sean Blanchflower, vice president of engineering, Big Data Platform, Hewlett Packard Enterprise. “Designed to meet the demanding needs of data-driven enterprises, this new, language-independent capability can enhance applications with machine learning powered natural language exchan

Podcast: Deep Learning 101

In this AI Podcast, Host Michael Copeland speaks with NVIDIA’s Will Ramey about the history behind today’s AI boom and the key concepts you need to know to get your head around a technology that’s reshaping the world. “AI has been described as ‘Thor’s Hammer’ and ‘the new electricity.’ But it’s also a bit of a mystery – even to those who know it best. We’ll connect with some of the world’s leading AI experts to explain how it works, how it’s evolving, and how it intersects with every facet of human endeavor.”