Tag Archive: CCC

Articles relevant to the Computing Community Consortium.

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Nominations Sought for New CCC Council Members


The Computing Community Consortium (CCC) is charged with catalyzing and empowering the U.S. computing research community to articulate and advance major research directions for the field. To do so, the CCC needs truly visionary leaders — people with great ideas, sound judgment, and the willingness to work hard to see things to completion. Please help the computing community by nominating such people for the Council.

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Microsoft Researchers on What to Expect in 2017 and 2027


On the Microsoft Blog, 17 outstanding researchers from all parts of computer science share their vision of how computational thinking will transform our world in the next year and the next decade. Computer technology has delivered capabilities and benefits that were unimaginable 20 years ago – read about the deep insights these researchers have on how it will transform our world in the next 10 years.
Check out a few highlights, including one from CRA Board Member Kathryn S. McKinley.

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Arch2030: A Vision of Computer Architecture Research over the Next 15 Years


In June 2016, I blogged about the successful Architecture 2030 Visioning Workshop, organized by Luis Ceze of the University of Washington and Thomas Wenisch of the University of Michigan, and partially sponsored by the Computing Community Consortium (CCC) in conjunction with ISCA’16 in Seoul, South Korea. Recently CCC released the final report Arch2030: A Vision of Computer Architecture Research over the Next 15 Years with the endorsement of more forty research leaders in the field. Key findings are in this article.

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Thoughts from White House Frontier’s Conference and the National AI R&D Strategic Plan


Last month, the President hosted the White House Frontiers Conference in Pittsburgh, an event that was co-hosted by the University of Pittsburgh and Carnegie Mellon University and attended by hundreds of scientific leaders in our community.

The Computing Community Consortium (CCC) Chair and Director attended the event, which had many speakers from previous CCC events.

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South Big Data Hub DataStart Highlights


As a result of the CCC / CRA Industry Academic Survey, conducted in spring of 2015 and the CCC Industry Roundtable Discussion held on July 24, 2015, the CCC partnered with the four NSF-sponsored Big Data Regional Innovation Hubs (BD Hubs) for a program on industry-academic collaboration. Each Hub is charged with addressing regional specific big data challenges. Areas of emphasis for the South BD hub include coastal hazards, industrial big data, and health analytics, among others.

As one of its CCC-sponsored activities, the South BD Hub ran the DataStart internship program, which paired graduate students from the South Regional Innovation Hub with data-related startup companies for three months.

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World’s Largest Technology Companies Create Historic Partnership on AI


In a recent blog post, we summarized the report of an academic/industry roundtable, which, among other recommendations, advocated for mechanisms to support long-term, strategic, and sustained conversation between academics and industry representatives. Recently, one such mechanism came into being with the announcement of the Partnership on AI by a consortium consisting of Microsoft, Google, Amazon, Facebook, and IBM.

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The Future of Computing Research: Industry-Academic Collaborations


The Computing Community Consortium convened a round-table of industry and academic participants in July 2015 to better understand the landscape of industry-academic interaction, and to discuss possible actions that might be taken to enhance those interactions. This discussion was preceded by a survey sent to academics and industry representatives in Spring of 2015. This survey was designed to provide some current information about the perceptions of the value of academic/industry interaction as well as trends and barriers.

The resulting report, The Future of Computing Research: Industry-Academic Collaborations, touches on topics that were discussion during the round-table as well as in the survey.

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One Hundred Year Study on Artificial Intelligence


What do you think your field will look like in 100 years? Speculating about the world a century from now may be too challenging, so what if instead a community took it upon itself to periodically assess its progress and potential nearer-term futures over time? How might such reflections influence the rate of progress, the types of problems that the field focuses on, the public perception of the work, or the ability to anticipate and address thorny ethical or policy questions?

The first step on a project to answer these questions was taken with the release of the first report of the One Hundred Year Study on Artificial Intelligence (AI100).

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Whistling Past the Graveyard: What the End of Moore’s Law Means to All of Computing


Is “Moore’s Law” ending? If so, what does this mean to all of us in he field of computing? These questions were discussed at a July 2016 panel at the Computing Research Association’s Conference at Snowbird organized by Conte and Margaret Martonosi of Princeton. The panel included a technologist (Paolo Gargini, Intel fellow-emeritus), three computer architects (David Brooks of Harvard, Mark D. Hill of Wisconsin-Madison, and Tom Conte of Georgia Tech), and a quantum computer scientist (Krysta Svore of Microsoft Research).

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CCC Welcomes New Council Members and Leadership


July 1st starts a new term at CCC!

The new Computing Community Consortium (CCC) leadership, Elizabeth Mynatt and Mark Hill will assume their roles as Chair and Vice Chair respectively for two-years, while Greg Hager is stepping down after two years as Chair. The other members of the CCC Executive Committee include Jennifer Rexford, Princeton University, and Ben Zorn, Microsoft Research.

In addition to a new Exec Committee, four new CCC Council members will us join us for the start of their three-year terms, Sampath Kannan, University of Pennsylvania, Maja Matarić, University of Southern California, Nina Mishra, Amazon Research, and Holly Rushmeier, Yale University.