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Stony Brook University Launches New Institute for AI Discovery

Today Stony Brook University launched the Institute for AI-Driven Discovery and Innovation to advance AI research and apply the transformative power of innovation driven by AI across disciplines. The AI Institute will focus on four grand challenges: health care; infrastructure; education; and, finance. It will also focus on five foundational research areas: automated and scalable knowledge acquisition; predictive intelligence; explainable AI; trustworthy AI; and, ethical AI.

HPE BlueData Appliance Accelerates AI and Data-Driven Innovation

Today HPE announced a powerful new appliance for AI and data driven-innovation based on the HPE BlueData software platform and HPE Apollo systems. “To stay a step ahead of the competition, enterprise organizations in every industry are embarking on AI-enabled and data-driven digital transformation initiatives,” said Milan Shetti, GM, HPE Storage. “Having BlueData as part of HPE’s portfolio extends our best-in-class solutions for these customers, enabling us to provide differentiated hybrid IT solutions for AI, machine learning, and advanced analytics.”

NVIDIA Builds First AI Platform for NHS Hospitals in the U.K.

Today NVIDIA and King’s College London announced they are partnering to build an AI platform designed to allow specialists in the U.K.’s National Health Service to train computers to automate the most time-consuming part of radiology interpretation. “The NVIDIA DGX-2 AI system’s large memory and massive computing power make it possible for us to tackle training of large, 3D datasets in minutes instead of days while keeping the data secure on the premises of the hospital.”

Red Hat Teams with NVIDIA to Accelerate Machine Learning in the Cloud

Today Red Hat announced it has deepened its alliance with NVIDIA to accelerate the enterprise adoption of AI, machine learning and data analytics workloads in production environments. To move thins along, Red Hat is launching an early access program for prospective customers. “High-performance technologies are moving at a brisk rate into enterprise data centers to accelerate product development and business operations – including financial services, ERP and sales analysis, fraud detection and cybersecurity, and machine learning-AI,” said Steve Conway, senior vice president of research, Hyperion Research. “The hybrid cloud solutions from Red Hat and NVIDIA are designed to make accelerated computing use easier for enterprises on-premise and in the cloud.”

Cray Powers Weather Forecasting at ZAMG in Austria

Today Cray announced that the Central Institution for Meteorology and Geodynamics in Austria (ZAMG) is using a Cray supercomputer to support a multi-year weather nowcasting project with the University of Vienna to benefit society and industry. “Using deep learning methods, ZAMG is leveraging its Cray CS-Storm supercomputer to optimize the orientation of wind-powered generators for maximum efficiency and to train neural networks with current and historical weather data.”

Google Cloud TPU Pods Speed Machine Learning

Today Google announced that its Google Cloud TPU Pods are now publicly available in beta. Designed to help Machine Learning researchers iterate faster and train more capable machine learning models, TPU Pods can include more than 1,000 individual TPU chips connected by an ultra-fast, two-dimensional toroidal mesh network.

Hyperion Research to host HPC Market Update Breakfast at ISC 2019

Hyperion Research will hold their annual HPC Market Update briefing at ISC 2019 in Frankfurt. “As Hyperion Research, we continue all the worldwide activities that spawned the world’s most respected HPC industry analyst group. For more than 25 years, we’ve helped IT professionals, business executives, and the investment community make fact-based decisions on technology purchases and business strategy.”

ExaLearn: The ECP Co-Design Center for Machine Learning

In this video from the HPC User Forum, Frank Alexander from Brookhaven National Laboratory presents: ExaLearn – ECP Co-Design Center for Machine Learning. “It is increasingly clear that advances in learning technologies have profound societal implications and that continued U.S. economic leadership requires a focused effort, both to increase the performance of those technologies and to expand their applications. Linking exascale computing and learning technologies represents a timely opportunity to address those goals.”

Excelero Powers AI as a Service with Shared NVMe at InstaDeep

“InstaDeep offers a pioneering AI as a Service solution enabling organizations of any size to leverage the benefits of AI and Machine Learning without the time, costs and expertise required to run their own AI stacks. Excelero’s NVMesh, in turn, allows InstaDeep to access the low-latency, high-bandwidth performance that is essential for running customer AI and ML workloads efficiently – and gain the scalability vital to InstaDeep’s own rapid growth.”

Video: Shaping the Future of Finance with HPC

In this video, Mao Ye from the University of Illinois describes how his high performance computing computing is shaping the future of Finance. “Ye’s research lies at the intersection of big data, high-performance computing and the economics, and finance realm. Using computing resources, Ye tackles large amounts of data currently being collected by companies and finance institutions. “The high-performance computing is more like a tool,” he said, “because we are basically doing big data research.”