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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.”

a16z Podcast Looks at Artificial Intelligence and the Space of Possible Minds

In this a16z Podcast, Murray Shanahan, Azeem Azhar, and Tom Standage discuss the past, present, and future of A.I. as well as how it fits (or doesn’t fit) with machine learning and deep learning. “Where are we now in the A.I. evolution? What players do we think will lead, if not win, the current race? And how should we think about issues such as ethics and automation of jobs without descending into obvious extremes? All this and more, including a surprise easter egg in Ex Machina shared by Shanahan, whose work influenced the movie.”

Podcast: Do It Yourself Deep Learning

In this AI Podcast, Bob Bond from Nvidia and Mike Senese from Make magazine discuss the Do It Yourself movement for Artificial Intelligence. “Deep learning isn’t just for research scientists anymore. Hobbyists can use consumer grade GPUs and open-source DNN software to tackle common household tasks from ant control to chasing away stray cats.”

The Festivus Airing of Grievances from Radio Free HPC

In this podcast, the Radio Free HPC team honors the Festivus tradition of the annual Airing of Grievances. Our random gripes include: the need for a better HPC benchmark suite, the missed opportunity for ARM servers, the skittish battery in the new Macbook Pro, and a lack of an industry standards body for cloud computing.

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.”

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.”

Podcast: Intel Doubles Down on Artificial Intelligence

In this Chip Chat podcast, Diane Bryant, EVP/GM for the Data Center Group at Intel, discusses how the company is driving the future of artificial intelligence by delivering breakthrough performance from best-in-class silicon, democratizing access to technology, and fostering beneficial uses of AI. Bryant also outlines her vision for AI’s ability to fundamentally transform the way businesses operate and people engage with the world. In a blog Krzanich said: “Intel is uniquely capable of enabling and accelerating the promise of AI. Intel is committed to AI and is making major investments in technology and developer resources to advance AI for business and society.”

Podcast: LLNL’s Lori Diachin Reviews the SC16 Technical Program

“I think the most important thing I’d like people to know about SC16 is that it is a great venue for bringing the entire community together, having these conversations about what we’re doing now, what the environment looks like now and what it’ll look like in five, ten fifteen years. The fact that so many people come to this conference allows you to really see a lot of diversity in the technologies being pursued, in the kinds of applications that are being pursued – from both the U.S. environment and also the international environment. I think that’s the most exciting thing that I think about when I think about supercomputing.”

Radio Free HPC Year End Review of 2016 Predictions

In this podcast, the Radio Free HPC team looks at how Shahin Khan fared with his OrionX 2016 Technology Issues and Predictions. “Here at OrionX.net, we are fortunate to work with tech leaders across several industries and geographies, serving markets in Mobile, Social, Cloud, and Big Data (including Analytics, Cognitive Computing, IoT, Machine Learning, Semantic Web, etc.), and focused on pretty much every part of the “stack”, from chips to apps and everything in between. Doing this for several years has given us a privileged perspective. We spent some time to discuss what we are seeing and to capture some of the trends in this blog.”

Podcast: Intel Facilitating New Workloads by Democratizing HPC

In this Intel Chip Chat, Dr. Figen Ulgen from Intel discusses artificial intelligence workloads that are emerging as a result of greater access to high performance computing. “Noting that “wherever there is computational complexity, HPC can help,” Dr. Ulgen talks about the ways that technologies like voice recognition and natural language processing are growing more sophisticated as compute power increases. Dr. Ulgen additionally highlights Intel’s work with the OpenHPC-based Intel HPC Orchestrator, which promises to be an important step forward in making HPC more accessible to a broader array of customers.”