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Peter J. Denning, Editor in ChiefThe digitally connected world has become a large, swirling sea of information stripped of context. We help our readers make sense of it, find meaning in it, learn what to trust, and speculate on our future.

Peter J. Denning,
Editor-in-Chief

 

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LATEST ARTICLES

Symposium

Developing an Open Source 'Big Data' Cognitive Computing Platform: Big Data (Ubiquity symposium)

by Michael Kowolenko, Mladen A. Vouk

In this follow-up interview, John Gustafson goes beyond unum 1.0. Type 2 unums pave the way for custom number systems that squeeze the maximum accuracy out of a given number of bits. This new format could have prime applications in deep learning, big data, and exascale computing. ...


Symposium

High Performance Synthetic Information Environments
An integrating architecture in the age of pervasive data and computing: Big Data (Ubiquity symposium)

by Christopher L. Barrett, Jeffrey Johnson, Madhav Marathe

In this follow-up interview, John Gustafson goes beyond unum 1.0. Type 2 unums pave the way for custom number systems that squeeze the maximum accuracy out of a given number of bits. This new format could have prime applications in deep learning, big data, and exascale computing. ...



Symposium

Technology and Business Challenges of Big Data in the Digital Economy: Big Data (Ubiquity symposium)

January 2018
by Dave Penkler

In this follow-up interview, John Gustafson goes beyond unum 1.0. Type 2 unums pave the way for custom number systems that squeeze the maximum accuracy out of a given number of bits. This new format could have prime applications in deep learning, big data, and exascale computing. ...


department

Why putting yourself in the mind of your reader is easier---and more challenging---than you might have imagined

January 2018
by Philip Yaffe

In this follow-up interview, John Gustafson goes beyond unum 1.0. Type 2 unums pave the way for custom number systems that squeeze the maximum accuracy out of a given number of bits. This new format could have prime applications in deep learning, big data, and exascale computing. ...