2001

By paigejones | November 18, 2020

For an accessible version of any PDF presentation files identified that are not fully Section 508 compliant, please send a message to Daniel Duffy the Responsible NASA Official for the IS&T Colloquium site.  Include the link to the specific document/file of interest. JOHN CASTI Professor, Operations Research and System Theory, Technical University, Vienna, Austria; International Institute for Applied…

2000

By rnpatel | November 18, 2020

For an accessible version of any PDF presentation files identified that are not fully Section 508 compliant, please send a message to Daniel Duffy(link sends e-mail) the Responsible NASA Official for the IS&T Colloquium site.  Include the link to the specific document/file of interest. JIM GRAY 1998 Turing Award Winner Senior Scientist, Microsoft Bay Area Research Center…

photo of NATE ROQUET

Nate Roquet

By paigejones | October 6, 2020

CATALOG is developing the world’s first commercial system for data storage in DNA. DNA is extremely information dense and stable, yet parallel and readily operable. It begets a “cold computer” that merges the features of archive, query, and portability. In this talk, we will learn methods of storage data in DNA and we will explore…

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Michael Chesnes

By rnpatel | October 6, 2020

Select Federal Services Library Information Services  WebEx – 10:00 am Eastern Daylight Time (New York, GMT-04:00)  |  1 hr 15 mins WebEx Info:Meeting number (access code): 900 966 776Meeting password: NCCSusg!1WebEx Audio: You can use built-in WebEx audio.WebEx Link: https://nasaenterprise.webex.com/nasaenterprise/j.php?MTID=m26f1706060dc. Information Services encompass those aspects of library operations which combine information retrieval and customer service, increasingly with value added interpretation…

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Dr. Guilin Liu

By rnpatel | October 6, 2020

Dr. Guilin Liu NVIDIA Senior Research Scientist Partial Convolution for Image Inpainting Virtual – 11:00 am EST – Microsoft Teams meeting – Join here(link is external)  Existing deep learning-based image inpainting methods use a standard convolutional network over the corrupted image, usi g convolutional filter responses conditioned on both valid pixels as well as the substitute values…

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