Last week, we shared the National Security Commission on AI‘s Interim Report as well as details about the corresponding conference held on November 6, Strength Through Innovation: Artificial Intelligence and the Future of U.S. National Security. The Commission now welcomes feedback and is looking forward to continuing to engage with the community as they move into the analysis and recommendation phase of the Commission’s work. To that end, they will be holding a series of teleconferences to provide a deeper dive into the interim report content and gather your feedback. Please join them on one of the following dates for these discussions: LOE 1: Invest in AI R&D, Thursday, November 21, […]

The National Science Foundation’s (NSF) new solicitation, titled National Artificial Intelligence (AI) Research Institutes: Accelerating Research, Transforming Society, and Growing the American Workforce, has a program webinar on November 7th, 2019 at 3:30-4:30 PM ET. Artificial Intelligence (AI) has advanced tremendously and today promises personalized healthcare; enhanced national security; improved transportation; and more effective education, to name just a few benefits. Increased computing power, the availability of large datasets and streaming data, and algorithmic advances in machine learning (ML) have made it possible for AI development to create new sectors of the economy and revitalize industries. Continued advancement, enabled by sustained federal investment and channeled toward issues of national importance, holds the […]

The National Science Foundation (NSF), in partnership with the National Institute of Food and Agriculture (NIFA), Department of Homeland Security (DHS), Department of Transportation (DoT), and the Department of Veterans Affairs (VA) just announced a new solicitation, titled National Artificial Intelligence (AI) Research Institutes: Accelerating Research, Transforming Society, and Growing the American Workforce, with the goal to “significantly advance research in AI and accelerate the development of transformational, AI-powered innovation by allowing researchers to focus on larger-scale, longer-term research.” The National Artificial Intelligence Research Institutes program anticipates approximately $120 million in grants next year to fund eight planning grants and up to six research institutes in order to advance AI […]

A new episode of the Computing Community Consortium‘s (CCC) podcast, Catalyzing Computing, is now available. This is part 2 of Khari Douglas’ interview with 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. In this episode, Dr. Mitchell discusses genetic algorithms, complexity science, and the art of writing a book. 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 podcast or want to contribute a guest post to the CCC blog, please complete this survey through Google […]

The following blog was written by Computing Community Consortium (CCC) Vice-Chair Liz Bradley from University of Colorado Boulder and CCC Chair Mark D. Hill from the University of Wisconsin Madison. Times in Artificial Intelligence are or should be changing. See Bob Dylan’s 1964 lyrics below.  Last week the New York Times published an article titled “A.I. Researchers See Danger of Haves and Have-Nots.” Modern AI research, which demands enormous computational resources, large data sets, and significant human expertise, is becoming increasingly difficult for anyone outside the large tech companies like Google, Microsoft, Amazon and Facebook. This includes university labs—which, as the article points out, have traditionally been a wellspring of […]

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 […]