hschilling + nasa   111

NASA Goddard Workshop on Artificial Intelligence
Astrophysics researcg=h to support astroparticle (gamma-ray and cosmic-ray), x-ray, gravitational-wave, observational cosmology, exoplanet and stellar astrophysics.
machine-learning  nasa 
december 2018 by hschilling
Google has enlisted NASA to help it prove quantum supremacy within months - MIT Technology Review
The firm will pit its Bristlecone quantum processor against a classical supercomputer early next year and see which comes out on top.
quantum-computing  nasa  google 
november 2018 by hschilling
(8) NASA Perspectives on Deep Learning - YouTube
Nikunj Oza from NASA Ames presents: NASA Perspectives on Deep Learning.

This talk will give a broad overview of work at NASA in the space of data sciences, data mining, machine learning, and related areas at NASA. This will include work within the Data Sciences Group at NASA Ames, together with other groups at NASA and university and industry partners. We will delineate our thoughts on the roles of NASA, academia, and industry in advancing machine learning to help with NASA problems.

Bio: Nikunj Oza is the leader of the Data Sciences Group at NASA Ames Research Center and the Discovery of Precursors to Safety Incidents (DPSI) team which applies data mining to aviation safety. Dr. Oza’s 40+ research papers represent his research interests which include data mining, fault detection, and their applications to Aeronautics and Earth Science. He received the Arch T. Colwell Award for co-authoring one of the five most innovative technical papers selected from 3300+ SAE technical papers in 2005. He received his B.S. in Mathematics with Computer Science from MIT in 1994, and M.S. (in 1998) and Ph.D. (in 2001) in Computer Science from the University of California at Berkeley. and Ph.D. (in 2001) in Computer Science from the University of California at Berkeley.
NASA  deep-learning  machine-learning  video 
september 2017 by hschilling
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