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Finding a Solution for Ai in Government

A new special report from insideHPC, courtesy of Dell EMC and NIVIDa explores current machine learning applications in government. And this excerpt breaks down solutions for AI in government, including Dell EMC Ready Solutions. Dell EMC Ready Solutions for AI are validated hardware and software stacks optimized to accelerate AI initiatives, shortening the time to architect a new solution by six to 12 months.

Today’s Application of Ai Within Government

Across the globe, governments are acknowledging the potential of AI technologies to impact our daily lives, from how we make purchasing decisions to improving our healthcare. But there are several reasons why government agencies may be hesitant to adopt AI technologies. A new insideHPC Guide, courtesy of Dell EMC and NVIDIA, explores what’s next for government AI, as well as already tangible results of AI and machine learning.

HiPEAC Vision 2019 Looks to the Future of Computing

“Today, the possibilities of an interconnected, heterogeneous and intelligent world are only just beginning to make themselves known. This stunning advancement in digital technology was made possible by ever-increasing performance at ever lower costs. However, physical limits mean we won’t be able to keep shrinking computing components while increasing performance for much longer. So where do we go from here? What are the main challenges and conditions for future developments, and where? The HiPEAC Vision 2019 explores all these questions, and more.”

New Report: PRACE in the EuroHPC Era

The Partnership for Advanced Computing in Europe has published a new report: PRACE in the EuroHPC Era. PRACE is an international non-profit association with its seat in Brussels. “The EuroHPC Joint Undertaking will advance the European supercomputer landscape by completing the infrastructure pyramid at the top level with European leadership-class supercomputers. In a context of a strong international competition with USA, China and Japan, this development is highly expected by all stakeholders of HPC in Europe. For the European HPC users from science and industry, i.e. industrials and SMEs, the seamless integration of these new top-level systems and services into the existing European HPC-ecosystem is an issue of paramount importance.”

XTREME-D IaaS Platform Works to Simplify HPC Cloud Cluster Management

An IaaS platform can help keep HPC cloud cluster users out of the cluster management business. A new white paper from XTREME-D, “Point and Click HPC: The XTREME-Stargate IaaS Platform”, explores how the Stargate platform, that provides a web portal to cluster resources, can increase user efficiency, eliminate cluster administration costs and acts as a “pay-as-you-go” cloud model, simplifying HPC cloud clusters and making them more accessible.

Podcast: Announcing the New CryptoSuper500 List

Today OrionX Research today announced that Bitcoin and BTC.com top the first release of the CryptoSuper500 list. The list recognizes cryptocurrency mining as a new form of supercomputing and tracks the top mining pools. “The growth of the cryptocurrency market has put the spotlight on emerging decentralized applications, the new ways in which they are funded, and the software stack on which they are built.” Cryptocurrency technologies include blockchain, consensus algorithms, digital wallets, and utility and security tokens.

Download the New European HPC Handbook

ETP4HPC has published their annual European HPC Handbook. “This publication describes the HPC Technology, Co-design and Applications Projects within the European HPC ecosystem, including EPI. The Handbook will be distributed at a SC18 Birds-of-a-Feather Session in Dallas (Nov. 14 at 5.15pm). Please attend to get your printed copy.”

Using Ai to Automatically Diagnose Alzheimer’s Disease

Researchers from Stanford University have developed a deep learning based system that can automatically detect Alzheimer’s disease and its biomarkers from MRIs, with 94 percent accuracy. “Our method uses minimal preprocessing of MRIs (imposing minimum preprocessing artifacts) and utilizes a simple data augmentation strategy of downsampled MR images for training purposes,” the researchers stated in their paper.

New Paper: Survey of FPGAs for Convolutional Neural Networks

Sparsh Mittal has just published a new paper on the use of FPGAs for Convolutional Neural Networks. “Deep convolutional neural networks (CNNs) have recently shown very high accuracy in a wide range of cognitive tasks and due to this, they have received significant interest from tnewhe researchers. Given the high computational demands of CNNs, custom hardware accelerators are vital for boosting their performance. The high energy-efficiency, computing capabilities and reconfigurability of FPGA make it a promising platform for hardware acceleration of CNNs.”

Survey Foretells Explosive Growth in Machine Learning Projects Over Next Two Years

Over at the Univa Blog, Gary Tyreman writes that the company sponsored an industry-wide survey to better understand what key challenges our HPC users are currently facing that are preventing them from moving their machine learning (ML) projects into production. “Our goal is to use this data to help guide our customers and recommend the right set of tools and migration options needed to accelerate value in machine learning.”