In this Chip Chat podcast, Intel’s Alexei Bastidas describes the technology behind making maps from satellite images. “Good maps rely on good data. The Red Cross’ Missing Maps Project leverages AI to provide governments and aid workers with the tools they need to navigate disasters like hurricanes and floods. Using a wealth of satellite imagery and machine learning, the Missing Maps Project is working to make villages, roads, and bridges more accessible in the wake of devastation.”
Podcast: The Evolution of Neuromorphic Computing
December 27, 2019 by
Intel’s Mike Davies describes Intel’s Loihi, a neuromorphic research chip that contains over 130,000 “neurons.” “To be sure, neuromorphic computing isn’t biomimicry or about reconstructing the brain in silicon. Rather, it’s about understanding the processes and structures of neuroscience and using those insights to inform research, engineering, and technology.”
Podcast: Inside TACC’s Frontera Supercomputer
September 4, 2019 by
In this Intel Chip Chat podcast, Dan Stanzione from TACC discusses the architecture and capabilities of Frontera, TACC’s newest HPC cluster. “Frontera’s architecture includes 8,000 servers, each powered by 2nd Generation Intel Xeon Scalable processors. The cluster includes hundreds of thousands of processing cores and a liquid-cooled infrastructure enabling a higher clock rate for even more performance.”
Podcast: Achieving Low Latency with the SPDK Storage Performance Development Kit
June 2, 2019 by
In this Intel Chip Chat podcast, Dr. Felipe Franciosi from Nutanix and Nate Marushak from Intel describe how the open source reference library called SPDK (Storage Performance Development Kit) brings higher performance to the data center. “A decade ago, when slow hard disk drives were the heart of a data center, efficiency was improved by designing software to avoid accessing physical media. Innovations in persistent memory and in networking technology have already brought vast improvements. For systems that are latency-sensitive, applying SPDK can address software bottlenecks and open the way to even higher performance.”
Podcast: Accelerating AI Inference with Intel Deep Learning Boost
May 3, 2019 by
In this Chip Chat podcast, Jason Kennedy from Intel describes how Intel Deep Learning Boost works as an embedded AI accelerator in the CPU designed to speed deep learning inference workloads. “The key to Intel DL Boost – and its performance kick – is augmentation of the existing Intel Advanced Vector Extensions 512 (Intel AVX-512) instruction set. This innovation significantly accelerates inference performance for deep learning workloads optimized to use vector neural network instructions (VNNI). Image classification, language translation, object detection, and speech recognition are just a few examples of workloads that can benefit.”
Podcast: How AI and HPC Are Converging with Support from Intel Technology
January 25, 2019 by
In this Intel Chip Chat podcast, Dr. Pradeep Dubey, Intel Fellow and director of its Parallel Computing Lab, explains why it makes sense for the HPC and Ai to come together and how Intel is supporting this convergence. “AI developers tend to be data scientists, focused on deriving intelligence and insights from massive amounts of digital data, rather than typical HPC programmers with deep system programming skills. Because Intel architecture serves as the foundation for both AI and HPC workloads, Intel is uniquely positioned to drive their convergence. Its technologies and products span processing, memory, and networking at ever-increasing levels of power and scalability.”
Podcast: How PyLadies are Increasing Diversity in Coding and Data Science
September 13, 2016 by
In this Intel Chip Chat podcast, Dr. Julie Krugler Hollek, co-organizer of PyLadies San Francisco and Data Scientist at Twitter, joins Allyson Klein to discuss efforts to democratize participation in open source communities and the future of data science. “PyLadies helps people who identify as women become participants in open source Python projects like The SciPy Stack, a specification that provides access to machine learning and data visualization tools.”
