Contributions to this post were provided by CRA’s Communication Specialist Shar Steed. The Association for the Advancement of Artificial Intelligence (AAAI) recently elected its 2021 Fellows. The AAAI Fellows program recognizes individuals who have made significant, sustained contributions — usually over at least a ten-year period — to the field of artificial intelligence. Two of the newly elected fellows are Computing Community Consortium (CCC) Council members! Odest Chadwicke Jenkins, University of Michigan Jenkins was recently interviewed by the New York Times about his thoughts on the Artificial Intelligence field’s failure to make systems that are accurate for everyone. He is one of the authors of the Next Wave Artificial Intelligence: […]
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 ‘AI’
CCC Council Members Chad Jenkins and Holly Yanco are Newly Elected AAAI Fellows!
January 11th, 2021 / in Announcements, CCC, robotics / by Helen WrightCCC Quadrennial Papers: Artificial Intelligence
November 19th, 2020 / in AI, CCC, CCC-led white papers, CRA, Quad Paper, research horizons, Research News / by Maddy HunterAs part of the rollout of the 2020 Computing Research Associations (CRA) Quadrennial Papers, the Computing Community Consortium (CCC) is pleased to publish the final group of papers around the “Artificial Intelligence (AI)” theme, including papers on AI being deployed at the edge of the network, cooperation between AI and humans, new approaches to understanding AI’s impact on society, AI-driven simulators, and the next generation of AI. The Quadrennial Papers are intended to help inform the computing research community and those who craft science policy about opportunities in computing research to help address national priorities. This group of papers is the final installation of the CCC’s contribution, in addition to […]
Assured Autonomy Workshop Report Released
October 27th, 2020 / in AI, Announcements, CCC, research horizons, Research News, robotics, Security, workshop reports / by Helen WrightThe Computing Community Consortium (CCC) is pleased to announce the release of the Assured Autonomy report, titled Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust. The report is the result of a year-long effort by the CCC and over 100 members of the research community, led by Ufuk Topcu (The University of Texas at Austin). Workshop organizers included Nadya Bliss (Arizona State University and CCC), Nancy Cooke (Arizona State University), Missy Cummings (Duke University), Ashley Llorens (Johns Hopkins University, Applied Physics Laboratory), Howard Shrobe (Massachusetts Institute of Technology), and Lenore Zuck (University of Illinois at Chicago). Given the immense interest and investment in autonomy, a series of […]
Architecture Innovation Accelerates Artificial Intelligence
September 23rd, 2020 / in AI, conferences / by Khari DouglasAs part of the first day of the Virtual Heidelberg Laureate Forum (HLF) David A. Patterson, who won the 2017 ACM A.M Turing Award “for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry,” shared a presentation titled Architecture Innovation Accelerates Artificial Intelligence. To begin, Patterson gave a brief overview of the history of AI: it started with top-down approaches where a programmer would attempt to describe all the rules with the proper logic for the machine, but other researchers argued that was impossible and instead advocated for a bottom up approach where you feed the machine data and it learns for itself, i.e. machine […]
Catalyzing Computing Podcast Episode 22 – Ice Cores and Chaos Theory with Liz Bradley (Part 2)
May 18th, 2020 / in AI, podcast / by Khari DouglasA new episode of the Computing Community Consortium‘s (CCC) podcast, Catalyzing Computing, is now available. This is part two of Khari Douglas’ interview with Liz Bradley, the current Vice-chair of the CCC Council. Bradley has been with the Department of Computer Science at the University of Colorado at Boulder since January of 1993, and her current research focuses on nonlinear dynamics and chaos, as well as scientific computation and AI. In this episode we discuss nonlinear dynamics, chaos theory in pop culture, and the future of artificial intelligence. You can stream the episode in the embedded player below or find it on Apple Podcasts | Spotify | Stitcher | Google Play | Blubrry | iHeartRadio | Youtube. If you are interested in appearing in […]
Catalyzing Computing Podcast Episode 21 – Ice Cores and Chaos Theory with Liz Bradley (Part 1)
May 11th, 2020 / in AI, podcast / by Khari DouglasA new episode of the Computing Community Consortium‘s (CCC) podcast, Catalyzing Computing, is now available. In this episode Khari Douglas interviews Dr. Liz Bradley, the current Vice-chair of the CCC Council. Bradley has been with the Department of Computer Science at the University of Colorado at Boulder since January of 1993, and her current research focuses on nonlinear dynamics and chaos, as well as scientific computation and AI. In this episode we discuss teaching computational thinking, participating in the olympics, and using math and computing to analyze ice cores. Stream in the embedded player below or find the podcast on Apple Podcasts | Spotify | Stitcher | Google Play | Blubrry | iHeartRadio | Youtube. If you are interested in appearing in an episode of the Catalyzing Computing […]







