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New Cornell Virtual HPC, Data Science, Machine Learning Workshops at XSEDE

ITHACA, NY – Cornell University announced today that four new Cornell Virtual Workshop training topics are available at the Extreme Science and Engineering Discovery Environment (XSEDE) User Portal: Getting Started on Frontera Introduction to Advanced Cluster Architectures Using the Jetstream APIs Python for Data Science: Part 2 – Data Modeling and Machine Learning Cornell Virtual Workshop topics are freely available at all times to the entire scientific community – […]

Intel’s Neuromorphic Chip Can Sniff Out Hazardous Chemicals

Researchers have demonstrated how neuromorphic chips can mimic olfactory senses for use in industrial and medical applications. “In a joint paper published in Nature Machine Intelligence, researchers from Intel Labs and Cornell University demonstrated the ability of Intel’s neuromorphic research chip, Loihi, to learn and recognize hazardous chemicals in the presence of significant noise and occlusion. Loihi learned each odor with just a single sample without disrupting its memory of the previously learned scents. It demonstrated superior recognition accuracy compared to conventional state-of-the-art methods, including a deep learning solution that required 3000x more training samples per class to reach the same level of classification accuracy.”

Cornell Investigates Multi-cloud Cost Management with RightScale

The Cornell University Center for Advanced Computing (CAC) is collaborating with RightScale, recently acquired by Flexera, to understand how to best manage and optimize costs in a multi-cloud world. “Universities and research facilities are beginning to recognize that cloud management platforms (CMPs) are a useful tool for monitoring and controlling research expenditures, particularly as scientists seek different clouds for different capabilities,” said David A. Lifka, vice president for information technologies and CIO at Cornell. “By working with the Optima team, we’re adding to our current CMP experience and gaining knowledge on how to effectively address the unique needs of research computing and education users.”

Video: Dell Panel Discussion on the NSCI initiative from SC15

In this video from SC15, Rich Brueckner from insideHPC moderates a panel discussion on the NSCI initiative. “As a coordinated research, development, and deployment strategy, NSCI will draw on the strengths of departments and agencies to move the Federal government into a position that sharpens, develops, and streamlines a wide range of new 21st century applications. It is designed to advance core technologies to solve difficult computational problems and foster increased use of the new capabilities in the public and private sectors.”