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New Study: Algorithms based on deep neural networks can be applied to quantum physics

A computer science research group from the Hebrew University of Jerusalem has mathematically proven that artificial intelligence (AI) can help us understand currently unreachable quantum physics phenomena. The results have been published in Physical Review Letters. “Our research proves that the AI algorithms can represent highly complex quantum systems significantly more efficiently than existing approaches,” said Prof. Amnon Shashua, Intel senior vice president and Mobileye president and CEO.”

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.”

Video: The Game Changing Post-K Supercomputer for HPC, Big Data, and Ai

Satoshi Matsuoka from RIKEN gave this talk at the Rice Oil & Gas Conference. “Rather than to focus on double precision flops that are of lesser utility, rather Post-K, especially its Arm64fx processor and the Tofu-D network is designed to sustain extreme bandwidth on realistic applications including those for oil and gas, such as seismic wave propagation, CFD, as well as structural codes, besting its rivals by several factors in measured performance. Post-K is slated to perform 100 times faster on some key applications c.f. its predecessor, the K-Computer, but also will likely to be the premier big data and AI/ML infrastructure.”

Video: A New Era in HPC

In this video from the 2019 Rice Oil & Gas conference, Trish Damkroger from Intel presents: A New Era in HPC. “In this keynote presentation, Trish will discuss the changing landscape of high performance computing, key trends, and the convergence of HPC-AI-HPDA that is transforming our industry and will fuel HPC to fulfill its potential as a scientific tool for business and innovation. Trish will highlight not only key forces driving this shift but discuss how this transformation requires a fundamental paradigm shift and is opening up unprecedented opportunities for HPC.”

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.”

Quobyte to showcase software defined storage for Machine Learning at GTC

Today Quobyte announced announced plans to showcase distributed storage technology at NVIDIA’s GPU Technology Conference in Silicon Valley next week. Quobyte software defined storage turns commodity servers into a reliable and highly automated data center file system. “As machine learning increasingly becomes an indispensable tool for organizations looking to make critical decisions derived from their cumulative data, there is an increasing need for unified storage infrastructure that enables faster results and the ability to fully leverage GPUs,” said Bjoern Kolbeck, Quobyte co-founder and CEO. “We are excited to have the opportunity to present to attendees of NVIDIA’s GTC how they can quickly and easily speed up their ML workloads by overcoming data challenges associated with scale, throughput and access to all data throughout the organization.”

NVIDIA to Purchase Mellanox for $6.9 Billion

Today NVIDIA announced plans to acquire Mellanox for approximately $6.9 billion. The acquisition will unite two of the world’s leading companies in HPC. Together, NVIDIA’s computing platform and Mellanox’s interconnects power over 250 of the world’s TOP500 supercomputers and have as customers every major cloud service provider and computer maker.

Nvidia Certifies Colovore As DGX-Ready Data Center Partner

NVIDIA has gained traction in datacenter Machine Learning with their DGX platforms. Now Bay Area provider Colovore has signed up as a colocation partner supporting NVIDIA DGX deployments. “NVIDIA’s DGX-1 and DGX-2 platforms are leading the way in solving complex AI challenges and we are proud to partner with NVIDIA and their customers to provide the most cost-effective, flexible, and scalable data center home for these servers. With close to 1,000 DGX platforms already deployed and operating at Colovore, we have tremendous experience providing the optimal footprint for DGX and HPC infrastructure success.”

Announcing Google’s New TPU Dev Board for Machine Learning on the Edge

Google just launched Coral, a Beta platform for building intelligent devices with local AI. To enable this initiative, Google is making an edge version of its TensorFlow Processing Unit available for sale for the first time. “Our first hardware components feature the new Edge TPU, a small ASIC designed by Google that provides high-performance ML inferencing for low-power devices. For example, it can execute state-of-the-art mobile vision models such as MobileNet V2 at 100+ fps, in a power efficient manner.”

Optalysys launches FT:X 2000 – The world’s first commercial optical processing system

Today Optalysys announced the FT:X 2000, the world’s first optical co-processor system for Ai computing. “It is a really exciting time in optical computing,” said Dr. Nick New, Optalysys CEO and Founder. “As we approach the commercial launch of our main optical co-processor systems, we are seeing a surge in interest in optical methods, which are needed to provide the next level of processing capability across multiple industry sectors. We are on the verge of an optical computing revolution and it’s fantastic to be leading the way.”