A new episode of the Computing Community Consortium‘s (CCC) podcast, Catalyzing Computing, is now available. In this episode, Khari Douglas interviews Melanie Mitchell, a Professor of Computer Science at Portland State University, and External Professor and Member of the Science Board at the Santa Fe Institute. Dr. Mitchell discusses moving from physics to computer science, the development of Copycat, a computer program that makes analogies, and common AI fallacies. 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 an episode of the Catalyzing Computing […]
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.
Archive for the ‘AI’ category
Catalyzing Computing Podcast Episode 15 – Interview with Melanie Mitchell
September 30th, 2019 / in AI, podcast / by Khari DouglasApply by Oct. 8 for the 2020-2021 AAAS Leshner Leadership Institute in Artificial Intelligence!
September 25th, 2019 / in AAAS, AI, Announcements / by Helen WrightThere’s less than two weeks left to apply for the 2020-2021 cohort of AAAS Leshner Leadership Fellows! This program convenes mid-career scientists who demonstrate leadership in their research careers and in promoting meaningful dialogue between science and society. Each year, 15 Leshner Fellows from disciplines at the nexus of important science-society issues convene for a week of public engagement and science communication training and public engagement plan development in Washington, DC, then continue their activities while at their home institutions during the fellowship year. The 2020-2021 cohort will be comprised of active researchers in the field of artificial intelligence, new and emerging technologies that seek to replicate, mimic or augment human […]
Can We Trust Autonomous Systems and Seeing the Classics at the Technik Museum Speyer
September 25th, 2019 / in AI / by Khari DouglasIn Tuesday’s opening lecture at the Heidelberg Laureate Forum (HLF), Joseph Sifakis, 2007 Turing Award winner, discussed whether we can trust autonomous systems and considered the interplay between the trustworthiness of the system – the system’s ability to behave as expected despite mishaps – and the criticality of the task – the severity of the impact an error will have on the fulfillment of a task. Sifakis defined autonomy as the combination of five complementary functions – perception, reflection, goal management, planning, and self-awareness/adaption. The better a given system can manage these functions the higher the level of autonomy we say that it has, from 0 (no automation) to 5 (full automation, no […]
Artificial Intelligence and the Challenge of Modeling the Brain’s Behavior
September 24th, 2019 / in AI, conferences / by Khari DouglasYesterday 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 […]
A 20-Year Community Roadmap for AI Research in the US: Slide Deck
September 12th, 2019 / in AI, Announcements, research horizons, Research News / by Helen WrightRecently, the Computing Community Consortium (CCC) released the completed Artificial Intelligence (AI) Roadmap, titled A 20-Year Community Roadmap for AI Research in the US! An HTML version is available here. Slides summarizing the roadmap are now available here. We encourage you to use these when sharing the community vision. This roadmap is the result of a year long effort by the CCC and over 100 members of the research community, led by Yolanda Gil (University of Southern California and President of AAAI) and Bart Selman (Cornell University and President Elect of AAAI). Comments on a draft report of this roadmap were solicited in the Spring of 2019 and incorporated in the final report. If you would like […]
Last Week to Apply for the Blue Sky Ideas AAAI-20 Senior Member Presentation Track
September 9th, 2019 / in AI, Announcements, awards, Blue Sky / by Khari DouglasThe Computing Community Consortium (CCC) is sponsoring a Blue Sky Ideas Track at the Association for the Advancement of Artificial Intelligence Meeting (AAAI-20) in February 2020 in New York through their Senior Member Presentation Track (SMPT). Summary: SMPT provides an opportunity for established researchers in the AI community to give a broad talk on a well-developed body of research, an important new research area, or a promising new topic. These presentations should provide a big picture view, in contrast to regular papers, which may focus on a specific contribution. There are two subtracks for submissions of talk proposals for the AAAI 2020 Senior Members Track (SMPT): the summary talk – broad talks on a well-developed body of research […]