DARPA Overview

&

Data Driven Discovery of Models (D3M)

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Wade Shen

I2O Program Manager

Brian Sandberg

I20 Technical SETA

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An Overview of the DARPA Data Driven Discovery of Models (D3M) Program

Richard Lippmann, William Campbell, and Joseph Campbell

MIT Lincoln Laboratory

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244 Wood Street

Lexington, MA 02420

{lippmann, wcampbell, jpc}@ll.mit.edu

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MARVIN: An Open Machine Learning Corpus and

Environment for Automated Machine Learning

Primitive Annotation and Execution

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Chris A. Mattmann

Jet Propulsion Laboratory

California Institute of Technology

Pasadena, CA 91109 USA

chris.a.mattmann@jpl.nasa.gov

Sujen Shan

Jet Propulsion Laboratory

California Institute of Technology

Pasadena, CA 91109 USA

sujen.shah@jpl.nasa.gov

Brian Wilson

Jet Propulsion Laboratory

California Institute of Technology

Pasadena, CA 91109 USA

brian.wilson@jpl.nasa.gov

August 14, 2018

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DARPA’s Data Driven Discovery of Models (D3M) and

Software Defined Hardware (SDH) Programs.

Wade Shen

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DARPA

Arlington, VA

wade.shen@darpa.mil

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Center for Data-Driven Discovery

Prof. S. George Djorgovski

BDTF mee(ng,

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JPL, Nov. 2017

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THE PLANKTON, AEROSOL, CLOUD, OCEAN ECOSYSTEM MISSION

Status, Science, Advances

P. Jeremy Werdell, Michael J. Behrenfeld, Paula S. Bontempi, Emmanuel BossSS, Brian Cairns, Gary T. Davis, Bryan A. Franz, Ulrik B. Gliese, Eric T. Gorman, Otto Hasekamp, Kirk D. KnobelspSPieSSe, Antonio Mannino, J. Vanderlei Martins, Charles R. McClain, Gerhard Meister, and Lorraine A. Remer

Self-Awareness for Heterogeneous MPSoCs:

A Case Study using Adaptive, Reflective Middleware

Nikil Dutt

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Department of Computer Science

University of California, Irvine

Irvine, CA 92697-3435, USA

Email: dutt@uci.edu

http://www.ics.uci.edu/~dutt

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ORNL is managed by UT-Battelle for the US Department of Energy

Machine Learning for Data-Driven Discovery

Sreenivas Rangan Sukumar, PhD

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Data Scientist and R&D Staff Computaional Data Analytics Group Computational Sciences and Engineering Division Oak Ridge National Laboratory

Email: sukumarsr@ornl.gov Phone: 865-241-6641

Thoughts on the Past, Present and Future

Tomorrow: Experience with Data Parallel Frameworks

Food-for-thought towards the exascale data analysis supercomputer

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