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Podcast: How Real is Ai Anyway?

In this podcast, the Radio Free HPC team discusses AI, bias in AI, and just how real AI actually is. “Ethics in AI, policy, legal framework are all big threads here. The trigger is the rather funny article from The Register: Artificial Intelligence, You Know it isn’t real, yeah?”

Building the business case for Hybrid HPC Cloud

Over the past two years, we’ve seen a dramatic acceleration in cloud adoption for HPC. Intuitively cloud computing makes sense — it enables organizations to rent rather than buy expensive HPC hardware, deploy solutions faster, reduce capital investments, and focus on core competencies. Software company Univa highlights the reason behind the recent cloud adoption boom among the HPC community, and the benefits of the hybrid HPC cloud.

Swiss HPC Conference to Focus on Intersecting Interests, Industries, and Initiatives

Coming up in April, AI and HPC practitioners share passions for cutting-edge technology and breakthrough R&D in Lugano, Switzerland at the tenth annual Swiss Conference and HPCXXL User Group. The joint sessions take place at Palazzo dei Congressi, April 1-4, bringing leaders together from academia, government and industry to share first-hand insights on innovative research, techniques, tools and technologies that are fueling economies, productivity and progress globally.

Any better than Clever Hans? Putting AI systems to the test

As Machine Learning advances, how will we know that these systems are making the right decisions? In this story from the Fraunhofer Heinrich Hertz Institute, researchers are looking at the learning strategies of today’s Ai systems. “We were very surprised by just how broad the range of learned problem-solving strategies is. Even modern AI systems have not always found a meaningful approach, at least not from a human perspective, instead sometimes adopting what we call ‘Clever Hans’ strategies.”

Radio Free HPC Looks at NVIDIA’s acquisition of Mellanox

In this podcast, the Radio Free HPC team looks at NVIDIA’s acquisition of Mellanox. “This called for an emergency session of our crack panel. While it will be several months before the full impact of this merger is felt, the RFHPC team believes this will change both the HPC and the Datacenter markets. It also signals Nvidia’s journey towards becoming more of a systems company and gives them a better shot at the enterprise AI market.”

Achieving the Best QoE: Performance Libraries Accelerate Code Execution

The increasing consumerization of IT means that even staid business applications like accounting need to have the performance and ease of use of popular consumer apps. Fortunately, developers now have access to a powerful group of libraries that can instantly increase application performance – with little or no rewriting of older code. Here’s a quick rundown of Intel-provided libraries and how to get them.

New Texascale Magazine from TACC looks at HPC for the Endless Frontier

This feature story describes how the computational power of Frontera will be a game changer for research. Late last year, the Texas Advanced Computing Center announced plans to deploy Frontera, the world’s fastest supercomputer in academia. To prepare for launch, TACC just published the inaugural edition of Texascale, an annual magazine with stories that highlight the people, science, systems, and programs that make TACC one of the leading academic computing centers in the world.

Interview: HPC User Forum in Santa Fe to look at Supercomputing Technology Trends

Hyperion Research will host the next HPC User Forum April 1-3 in Santa Fe, New Mexico. Now in its 20th year, the HPC User Forum has grown to 150 members from government, industry, and academia. To learn more, insideHPC caught up with Steve Conway from Hyperion Research.

Video: Why InfiniBand is the Way Forward for Ai and Exascale

In this video, Gilad Shainer from the InfiniBand Trade Association describes how InfiniBand offers the optimal interconnect technology for Ai, HPC, and Exascale. “Tthrough Ai, you need the biggest pipes in order to move those giant amount of data in order to create those Ai software algorithms. That’s one thing. Latency is important because you need to drive things faster. RDMA is one of the key technology that enables to increase the efficiency of moving data, reducing CPU overhead. And by the way, now, there’s all of the Ai frameworks that exist out there, supports RDMA as a default element within the framework itself.”

Exploring Today’s AI Resources — A Portal to a Growing Sector

When Accenture Federal Services researched how current AI technologies could be used by the U.S. federal government, Accenture documented nearly 100 use cases for AI adoption. Artificial intelligence is making a difference to government right now. For more information on how to get involved in this important and growing sector, take advantage of the resources outlined in this excerpt from an insideHPC Guide.