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Intel Launches Stratix 10 NX FPGAs Targeting AI Workloads
Intel today introduced its first AI-optimized FPGA – the Stratix 10 NX – which features expanded AI Tensor blocks (30 multipliers and 30 accumulators), integrated HBM memory, and high bandwid …
HPC in Life Sciences 2020 Part 2: Setting the Stage for AI’s Opening Act
The rise of AI – machine and deep learning – in life sciences has stirred the same excitement and same ‘fits-and-starts’ reality as elsewhere. Today, AI is mostly used in two areas: 1) em …
HPC in Life Sciences 2020 Part 1: Rise of AMD, Data Management’s Wild West, More
May 20, 2020
Given the disruption caused by the COVID-19 pandemic and the massive enlistment of major HPC resources to fight the pandemic, it is especially appropriate to re Read more…
Exascale: Cleaner-burning Gasoline Engines, Cities Powered by Wind, Nuclear Reactors That Fit on a Tabletop
May 18, 2020
When the US Department of Energy (DOE) boots up the world’s first generation of exascale supercomputers next year, researchers hope to find some of the most e Read more…
Intel, UPenn Launch Massive Multi-center AI Effort to Refine Brain Cancer Models
May 11, 2020
Intel and the University of Pennsylvania today announced a collaboration involving 29 international medical centers to train models to recognize brain tumors. The project is part of the Informatics Technology for Cancer Research (ITCR) program of the National Cancer Institute (NCI) and will use ‘federated learning architecture’ to mine relevant data while maintaining... Read more…
ML and Good Luck Take Swipe at COVID-19
April 30, 2020
Not surprisingly the scramble to find treatments for COVID-19 is making productive use of AI. This week Fernanda Foertter, formerly of Nvidia and now a consult Read more…
IBM Quantum Celebrates Milestone with a Contest to Pump Up Momentum
April 29, 2020
Four years ago IBM made the first quantum computer available via the cloud. It was the start of what remains a rather astounding initiative that has only gotten stronger. Today IBM’s quantum network has around 250,000 users, a fleet of 18 cloud-based quantum systems, more than 100 clients for its IBM Q Network, and IBM has begun a legitimate... Read more…
Quantum Bits: Intel Turns up the Heat; NSF, IBM, AWS, M’soft Collaborate; Q-CTRL Takes in Cash
April 15, 2020
Intel today reported (Nature) successful control a ‘silicon spin’ qubit at 100 degrees Kelvin – that’s a relatively balmy departure from the frigid mill Read more…
ECP Milestone Report Details Progress and Directions
April 1, 2020
The Exascale Computing Project (ECP) milestone report issued last week presents a good snapshot of progress in preparing applications for exascale computing. Th Read more…
Q&A Part Two: ORNL’s Pooser on Progress in Quantum Communication
March 30, 2020
Quantum computing seems to get more than its fair share of attention compared to quantum communication. That’s despite the fact that quantum networking may be Read more…
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Whitepaper
A Picture is Worth a Thousand Terabytes: Image Generators in Life Sciences
Next-generation imaging technologies are producing a wealth of rich data to advance Life Sciences research. Artificial intelligence and machine learning can help researchers quickly derive insights from such data. However, many organizations do not have the infrastructures to handle the combination of enormous imaging data volumes and demanding analysis compute requirements.
What’s needed is an infrastructure that supports mixed genomic analysis and image analysis workloads. This paper discusses the new compute and storage demands for Cryogenic Electron Microscopy (CryoEM) and Lattice Light Sheet Microscopy (LLS) image analysis pipelines and the need for an easy to manage data storage foundation that delivers high performance in a reliable, scalable, and adaptable way.
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Sponsored by Panasas
Webinar
The Convergence of HPC and AI
In this webinar, Martijn de Vries, CTO at Bright Computing and Robert Stober, Director of Product Management at Bright Computing, discuss the convergence of HPC and AI in the context of current industry trends and practices being used by organizations. They will discuss and demonstrate the convergence of HPC and AI on a shared infrastructure using Bright auto-scaler to enable efficient use of compute resources based on workload demand and policies, and also cover how to extend HPC/A.I. infrastructure to edge locations. Don’t miss out on this opportunity to gain valuable insight into innovative ways HPC and AI are being used together today.
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Sponsored by Bright Computing
SpotlightON
Popular AI Use Cases
In this SpotlightON we take a look at the fast-expanding world of AI use cases. In some sense it’s harder to identify what won’t be a potential use case for AI. Today, finance, internet commerce, healthcare, energy discovery and management, and IoT applications are all hot beds of AI development and deployment. Many more will follow. Learn how your work day and business may benefit from these experiences.
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Sponsored by NetApp
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