Neuro Inspired Computational Elements Workshop
Next generation computing systems beyond von Neumann/Turing Architecture and Moore's Law Limits
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Brian Van Essen
Informatics Group Lead / Computer Scientist, Lawrence Livermore National Laboratory
Bio: Brian is the Informatics Group leader and a Computer Scientist in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory (LLNL). He is actively pursuing research in large-scale deep learning for scientific domains and training deep neural networks using high-performance computing systems. He is the project leader for the Livermore Big Artificial Neural Network (LBANN) open-source deep learning toolkit. Additionally, he co-leads an effort to mapping these scientific, data-intensive, and machine learning applications to Neuromorphic architectures. His research interests also include developing new Operating Systems and Runtimes (OS/R) that exploit persistent memory architectures, including distributed and multi-level non-volatile memory hierarchies, for high-performance, data-intensive computing.
Bio: David Cox is an assistant professor of molecular and cellular biology and of computer science, as well as a member of the Center for Brain Science at Harvard University. He completed his PhD in the Department of Brain and Cognitive Sciences at MIT with a specialization in computational neuroscience. Before joining MCB/CBS, he was a junior fellow at the Rowland Institute at Harvard, a multidisciplinary institute focused on high-risk, high-reward scientific research at the boundaries of traditional fields. His laboratory seeks to understand the computational underpinnings of high-level visual processing through concerted efforts in both reverse and forward engineering. To this end, his group employs a wide range of experimental techniques (ranging from microelectrode recordings in living brains to visual psychophysics in humans) to probe natural systems, while at the same time actively developing practical computer vision systems based on what is learned about the brain.
Prinicpal Member of Technical Staff, Sandia National Laboratories
Chief Engineer, U.S. Department of Energy
Assistant Professor, UC Irvine
Director, Uber AI Labs, Uber
Program Manager, Defense Advanced Research Projects Agency (DARPA)
Professor, University of Tennessee
Research Program Director, SRC
Chair Experimental Physics, Heidelberg University
Assistant Professor, Rutgers University
Associate Professor, University of South Australia
Postdoc, Hewlett-Packard Laboratories
Flight lead, Bandit Flight
Program Director, NSF
Faculty, Arizona State University
Professor, University of Manchester
Associate Professor, Baylor College of Medicine
Professor, Redwood Center/UC Berkeley
President & CSO, Allen Institute
IBM Fellow, IBM
Deputy Assistant Director, National Science Foundation
SMTS, Sandia National Labs
Postdoc, University of California San Diego
Principal Researcher, SAIT, Samsung Electronics
Co-Founder, Numenta, Inc.
Research Scientist, Heidelberg University
Chief Research Scientist, Intel Corporation
Postdoctoral Research Associate, Los Alamos National Laboratory
Senior researcher, IMEC
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We are excited to use Whova as our event platform. Attendees please download Whova event app, to access the documents and handouts shared by the organizers.
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