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Job of the Week: Software Engineer for Perception Infrastructure at Argo AI

Argo AI in Pittsburgh is seeking a Software Engineer for Perception Infrastructure in our Job of the Week. “With offices in Pittsburgh, the Bay Area of California, Southeastern Michigan and Central New Jersey, we are building a high-performance team that is excited by complex engineering challenges and is passionate about making transportation safer, more affordable and accessible for all.”

Supermicro Ai Supercomputer Sports 20 NVIDIA Tesla T4 Accelerators in 4U

Supermicro’s new SuperServer 6049GP-TRT provides the superior performance required to accelerate the diverse applications of modern AI. “We see the combination of NVIDIA TensorRT and the new Turing architecture based T4 GPU Accelerator as the ideal combination for these new demanding and latency-sensitive workloads and are aggressively leveraging them in our GPU system product line.”

Can we use Machine Learning to Learn about Machines?

In this special guest feature, Ellexus CEO Rosemary Francis writes that the convergence of HPC and Ai is already changing the landscape in the world of supercomputing. “It is only as machines get faster that they are able to get cleverer. This means that more and more industries are becoming interested in making supercomputers even more powerful and investment in the exascale goal will increase.”

Intel Performance Libraries Accelerate Python Performance for HPC and Data Science

Python is now the most popular programming language, according to IEEE Spectrum’s fifth annual interactive ranking of programming languages, ahead of C++ and C. Recent Intel Distributions for Python show that real HPC performance can be achieved with compilers and library packages optimized for the latest Intel architectures. Moreover, the library packages targeted for big data analysis and numerical computation included in this distribution now support scaling for multi-core and many-core processors as well as distributed cluster and cloud infrastructures.

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.”

5 of 6 Gordon Bell Finalists use NVIDIA Volta Tensor Core GPUs

Over at the NVIDIA Blog, Geetika Gupta writes that the company’s powerful GPUs are being used by five of the six Gordon Bell Prize finalists. Just announced by ACM, these world-leading researchers did their work on the new NVIDIA GPU-accelerated Summit system at Oak Ridge National Laboratory and Sierra system at Lawrence Livermore National Laboratory.

Supermicro HGX-2 Cloud Server to Sport 2 Petaflops of Ai Horsepower

Today Supermicro announced that the company’s upcoming NVIDIA HGX-2 cloud server platform will be the world’s most powerful system for artificial intelligence and HPC capable of performing at 2 PetaFLOPS. “Our new HGX-2 system will enable efficient training of complex models. It combines sixteen Tesla V100 32GB SXM3 GPUs connected via NVLink and NVSwitch to work as a unified 2 PetaFlop accelerator with half a terabyte of aggregate GPU memory to deliver unmatched compute power.”

How AI is Changing the Media & Entertainment Industry

This insideHPC guide series explores how artificial intelligence is revolutionizing and evolving the media and entertainment industries. To get things started, this post offers up an overview of how AI is impacting the entertainment industry and the future of these sectors. 

Video: How Governments Can Get Involved in Artificial Intelligence

In this episode of Ai News, David Shaw examines the question: is Ai tangible or realistic? “Naveen believes that we have to start at the beginning, in elementary schools, and try to model curriculum with AI in mind. Just as kids learn skills like typing in school, they might also gain some guided computational skills. When it comes to STEM, more schools can try to incentivize students to excel in these fields by providing more grants and scholarships.”

Agenda Posted: ARM Research Summit Sept. 17-19

The ARM Research Summit has posted their Speaker List and Meeting Agenda. Livestreaming from event in U.K. will start on Sept. 17, 2018. “At the Arm Research Summit, academics, researchers and industry experts meet to discuss the latest developments in computing research and practical computing challenges. This year, we invite you to explore issues around creating a truly connected world, including the social, cultural and economic impact of a reality where over one trillion devices are seamlessly linked.”