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Microsoft Acquires Cycle Computing

Today Microsoft announced it has acquired Cycle Computing, a software company focused on making cloud computing resources more readily available for HPC workloads. “Now supporting InfiniBand and accelerated GPU computing, Microsoft Azure looks to be a perfect home for Cycle Computing, which started its journey with software for aggregating compute resources at AWS. The company later added similar capabilities for Azure and Google Cloud.”

DeepSat: Monitoring the Earth’s Vitals with AI

In order to better keep a finger on the pulse of the Earth’s health, NASA developed DeepSat, a deep learning AI framework for satellite image classification and segmentation. DeepSat provides vital signs of changing landscapes at the highest possible resolution, enabling scientists to use the data for independent modeling efforts.

What Developers Need to Consider When Exploring Machine Learning

Frameworks, applications, libraries and toolkits—journeying through the world of deep learning can be daunting. If you’re trying to decide whether or not to begin a machine or deep learning project, there are several points that should first be considered. This is the first article in a five-part series that covers the steps to take before launching a machine learning startup. 

AI and Blockchain Companies Partner to Advance Healthcare Research

Today Insilico Medicine announced a research collaboration with The Bitfury Group, the world’s leading full-service blockchain technology conglomerate, to develop novel solutions for healthcare applications. The companies signed a memorandum of understanding (MOU) to collaborate in the academic and commercial settings to develop AI on Blockchain solutions for the healthcare industry.

Blockchain can secure and streamline our medical systems, while AI has the potential to revitalize data management and machine learning to help identify trends and diseases,” said Valery Vavilov, founder, and CEO of The Bitfury Group. “By partnering with Insilico, we will be able to combine their expertise in deep learning and bioinformatics with our Blockchain proficiency and real-time solutions to create bespoke and innovative new products for the healthcare sector.”

Call for Abstracts: Intel HPC Developer Conference at SC17

“The Intel HPC Developer Conference 2017 has become the place for developers to learn about the latest trends, developments, and the future of HPC. By submitting an abstract and speaking at the conference you will be able to reach top-level decision makers within the HPC industry.”

Heroes of Deep Learning: Yuanqing Lin

In this video from the Heroes of Deep Learning series, Andrew Ng interviews Head of Baidu Research, Yuanqing Lin. “Baidu Research brings together global research talent to work on AI technologies in areas such as image recognition, speech recognition, high performance computing, natural language processing and deep learning. Baidu Research comprises four labs: the Silicon Valley AI Lab, the Institute of Deep Learning, the Big Data Lab and the Augmented Reality Lab.”

Launch a Machine Learning Startup

Launch a Machine Learning Startup – In this report, we’ll address everything from how to choose a framework and pick the tools you need to get started, to the questions you’ll be asking yourself, and the benefits of immersing yourself in the machine and deep learning communities. This report also untangles the jargon and explores what these terms actually mean. Download this special report now.

Advancing AI Capabilities with Next-Generation HPC Solutions

HPE and NVIDIA are delivering IT solutions with superhuman intelligence to harness the full power of AI and pioneer the next generation of HPC systems. In this special guest feature, HPE’s Vineeth Ram explores the possibilities of advancing AI capabilities with next-generation HPC solutions. “HPE is excited to complement our purpose-built systems innovation for Deep Learning and AI with the unique, industry leading strengths of the NVIDIA V100 technology architecture to accelerate insights and intelligence for our customers.”

Velocity Micro Accelerates HPC Desktops

Today Velocity Micro rolled out a suite of new workstation offerings designed for CAD design, 3D rendering, multimedia creation, and scientific calculation. Headlining the refreshed category are an AMD Epyc workstation with up to 64 physical cores, new Intel Xeon Scalable Processor offerings, and Threadripper, AMD’s newest Ryzen processor now available for pre-order. “Our heritage is deeply rooted in building ultra-performance workstation PCs, extending back to when I founded the company twenty years ago,” said Randy Copeland, President and CEO of Velocity Micro. “By refreshing these offerings and making AMD’s Threadripper processors available for preorder, we’re reasserting our commitment to this category and this customer with the most complete line of custom workstation solutions available anywhere.”

Go with Intel® Data Analytics Acceleration Library and Go*

Use of the Go* programming language and it’s developer community has grown significantly since it’s official launch by Google in 2009. Like many popular programming languages (C and Java come to mind), Go started as an experiment to design a new programming language that would fix some of the common problems of other languages and yet stay true to the basic tenets of modern programming: be scalable, productive, readable, enable robust development environments, and support networking and multiprocessing.