Computing Community Consortium Blog

The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.


Posts Tagged ‘Artificial Intelligence

 

Computing Community Consortium at AAAS 2020

February 3rd, 2020 / in AAAS / by Khari Douglas

The Computing Community Consortium (CCC) is proud to be a part of the American Association for the Advancement of Science (AAAS) 2020 Annual Meeting taking place February 12-16, 2020 in Seattle, Washington. This year the CCC is supporting five scientific sessions at the AAAS Annual Meeting in addition to two communications and outreach opportunities. Learn more about each of the sessions below. New Approaches to Fairness in Automated Decision Making Friday, February 14th 8:00 – 9:30 AM Synopsis: Critical decisions are increasingly being made by machine-learning algorithms based on massive data trails that people all leave behind. Such decisions affect issues from college admissions and bank loans, to sentencing and police deployment. Concerns have been raised […]

Artificial Intelligence and the Challenge of Modeling the Brain’s Behavior

September 24th, 2019 / in AI, conferences / by Khari Douglas

Yesterday morning at the Heidelberg Laureate Forum (HLF) laureates Yoshua Bengio (2018 Turing Award), Edvard Moser (2014 Nobel Prize in Physiology or Medicine), and Leslie G. Valiant (1986 Nevanlinna Prize and 2010 Turing Award) each presented a lecture related to artificial intelligence or the modeling of the brain. Yoshua Bengio’s lecture on “Deep Learning for AI” provided a retrospective of some of the key principles behind the recent successes of deep learning. Dr. Bengio’s work has mostly been in neural networks, which are inspired by the computation found in the human brain. One of the key insights in the field came with the representation of words as vectors of numbers. This allowed relationships between words to be learned […]

Code 8.7: Towards a Pipeline – Technology, Techniques and Training

May 1st, 2019 / in Announcements, pipeline / by Khari Douglas

The following blog post was contributed by Nadya Bliss (Director, the Global Security Initiative at Arizona State University & CCC Council Member) and is reposted from the Delta 8.7 website. You can view the original post here.  Advances in computational science and artificial intelligence offer opportunities to advance Target 8.7 of the Sustainable Development Goals, but the anti-trafficking community must first establish some core building blocks that can serve as the foundation upon which new technologies can be developed and shared. Simply throwing flashy new tech at the problem is neither strategic nor effective. Key components of this foundation include a shared strategy, a common infrastructure that allows for better and […]

Code 8.7: How We Can Advance Collaborative Problem Solving

April 12th, 2019 / in Announcements, policy, research horizons, Research News / by Khari Douglas

The following blog is reposted from the Delta 8.7 website. You can view the original post here. Contributions by:  James Cockayne  | Project Director – Delta 8.7 Nadya Bliss  | Director, the Global Security Initiative at Arizona State University Doreen Boyd  | Head of the Rights Lab’s Data Programme, University of Nottingham Hannah Darnton  | Programme Manager in Ethics, Technology and Human Rights, BSR Ann Drobnis  | Director, the Computing Community Consortium James Goulding  | Deputy Director of N-LAB, the University of Nottingham Daniel Lopresti  | Professor and Chair of the Department of Computer Science and Engineering, Lehigh University Anjali Mazumder  | Rutherford Fellow, the Alan Turing Institute of Data Science and Artificial Intelligence Zoe Trodd  | Director of the Rights Lab, the University of Nottingham   Code 8.7: How […]

Evolving Academia/Industry Relations in Computing Research: Interim Report released by the CCC

March 6th, 2019 / in Announcements, pipeline, resources / by Khari Douglas

The Computing Community Consortium’s (CCC) Industry Working Group has released their Evolving Academia/Industry Relations in Computing Research: Interim Report. In 2015, the CCC sponsored an industry round table that produced the report “The Future of Computing Research: Industry-Academic Collaborations”. Since then, several important trends in computing research have emerged such as the dramatic increase in undergraduate computer science enrollment, the increased availability of information technology, and the rising level of interactions between professors and companies, which has led to the sharing of critical industry resources (such as cloud computing and data). This report considers how these trends impact the interaction between academia and industry in computing fields. The interim report […]

New White House Science Head Bullish on Information Technology Research

March 5th, 2019 / in Announcements / by Khari Douglas

The following blog post is from CCC Chair Mark D. Hill of the University of Wisconsin-Madison. Kelvin Droegemeier recently gave his first speech as the Head of the White House Office of Science and Technology Policy (OSTP) at the American Association for the Advancement of Sciences (AAAS) 2019 annual meeting in Washington, DC. He is a meteorologist who has done substantial computer modeling and the first non-Physicist to lead OSTP. See the 42-minute video of his talk here. He called for all of us to continue our quest regarding Science’s “Endless Frontier” from Vannevar Bush’s eponymous 1945 report, beginning with a “portfolio analysis” of the US’s tremendous scientific strengths. For those of us […]