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The Best Software-Defined Network for the Best Network Efficiency (or Getting Ready for Exascale)
Software-Defined Networking (SDN) is a concept that has emerged in recent years to decouple network control and forwarding functions. SDN promises to enable a manageable and cost-effective networ …
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Machine Learning Takes Heat for Science’s Reproducibility Crisis
Scientists are raising red flags about the accuracy and reproducibility of conclusions drawn by machine learning frameworks. Among the remedies are developing new ML systems that can question the …
What Will IBM’s AI Debater Learn from Its Loss?
The utility of IBM’s latest man-versus-machine gambit is debatable. At the very least its Project Debater got us thinking about the potential uses of artificial intelligence as a way of helpi …
DARPA Eyes ‘Real-Time’ HPC for Simulations
February 13, 2019
The demands of training soldiers and pilots, a domain that is gradually incorporating AI-enabled technologies, has heightened the U.S. military’s need for far Read more…
Trump Signs Executive Order Launching U.S. AI Initiative
February 11, 2019
U.S. President Donald Trump issued an Executive Order (EO) today launching a U.S Artificial Intelligence Initiative. The new initiative - Maintaining American L Read more…
IBM Bets $2B Seeking 1000X AI Hardware Performance Boost
February 7, 2019
For now, AI systems are mostly machine learning-based and “narrow” – powerful as they are by today's standards, they're limited to performing a few, narro Read more…
What’s New in HPC Research: Quantum Machine Learning, Energy Efficiency, Collisions & More
February 7, 2019
In this bimonthly feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programmin Read more…
Deep500: ETH Researchers Introduce New Deep Learning Benchmark for HPC
February 5, 2019
ETH researchers have developed a new deep learning benchmarking environment – Deep500 – they say is “the first distributed and reproducible benchmarking s Read more…
Nvidia Expands Reach with ‘DGX-Ready’ Datacenter Network
January 30, 2019
Continuing its push to spread accelerated computing, Nvidia is launching a new program called DGX-Ready aimed at enabling customers "to deploy AI with ease" in Read more…
U.S. Moves to Get AI House in Order
January 26, 2019
An AI advisory body established by the U.S. Congress will examine how the technology can be applied on the battlefield. The National Security Commission on Artificial Intelligence was established by lawmakers in the most recent version of the Defense Department’s budget authorization bill. Read more…
IBM Posts Positive Earnings; ‘Strategic Imperatives’ Above 50% of Business
January 23, 2019
For IBM watchers at the advanced scale/HPC/open source/cloud/AI-related end of the technology industry, Big Blue’s release late yesterday of Q4 and 2018 earni Read more…
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Whitepaper:
Strategies for the Spectrum of Cloud Adoptions
Whether an organization chooses a cloud for general business needs or a highly tailored workload, the spectrum of offerings and configurations can be overwhelming. To help you navigate the various cloud options available today, we're breaking down your options, exploring pros and cons, and sharing ways to keep your options open and your business agile as you execute your cloud strategy.
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Sponsored by Microsoft
Whitepaper:
Adaptive Flexibility is the Future of Supercomputing – The Arm advantage for HPC workloads
Researchers in academic labs and commercial R&D groups continue to need more compute capacity, which means leveraging the latest innovations in HPC technologies as well as an assortment of resources to meet the unique needs of different workloads. Increasingly, systems based on Arm processors are stepping into that role, offering low power consumption and strategic advantages for HPC workloads.
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Sponsored by Cray
Whitepaper:
HPC Goes Mainstream
Whether it's for fraud detection, personalized medicine, manufacturing, smart cities, autonomous vehicles and many other areas, advanced-scale computing has exploded beyond the realm of academia and government and into the private sector. And with data-intensive workloads on the rise, commercial users are turning to HPC-based infrastructure to run the AI, ML and cognitive computing applications that their organizations depend on.
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