The following is a guest blog from Kristin Osborne, Communications Manager at Paul G. Allen School of Computer Science & Engineering, at the University of Washington (UW) and CCC Council member Shwetak Patel, Washington Research Foundation Entrepreneurship Endowed Professor in Computer Science and Engineering and Electrical Engineering, at UW. At the Computing Community Consortium (CCC) we know that everyone is dealing with a lot in these unprecedented times. We are continuing to work on behalf of the computing research community to catalyze research, but we also want to provide ways to help the community. This blog is from a series of posts about ways computing researchers are using computing to […]

The National Science Foundation (NSF) just posted a number of Frequently Asked Questions (FAQs) about the National Artificial Intelligence (AI) Research Institutes: Accelerating Research, Transforming Society, and Growing the American Workforce Solicitation (NSF 20-503). 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 research and create national nexus points for universities, federal agencies, industries, and nonprofits. Earlier this year, the Computing Community Consortium (CCC) released their completed AI Roadmap, titled A 20-Year Community Roadmap for AI Research in the US. An HTML version is available here. This roadmap, led by Yolanda Gil (University […]

The following blog was written by Computing Community Consortium (CCC) Chair Mark D. Hill from the University of Wisconsin Madison.  This week Cerebras announced a bold design to accelerate deep neural networks with silicon that is not cut into chips. AI and Moore’s Law: Artificial Intelligence (AI) is much in the news for what it can do to today and the promise of what it can do tomorrow (CCC/AAAI 20-Year AI Roadmap). Over half a century, AI innovation has been abetted by a million-fold progress in computer system cost-performance and parallelism. For decades, computer benefits came transparently via repeated doubling of processor performance (popularly called “Moore’s Law”). For the last decade, however, AI–especially for the great successes of […]

Through support from the Computing Community Consortium (CCC) the US National Robotics Roadmap was first created ten years ago by a group of 120 people from industry and academia. It has since been used by government agencies, universities and companies as a reference about where robotics is going. The first roadmap was published in 2009, then revised in 2013 and 2016. The objective is to publish the 4th version of the roadmap by summer 2020. The objective is to engage about 150-200 people from academia and industry to ensure that the roadmap is representative of the community’s view of where robotics is going. The roadmap will cover manufacturing, service, medical, first-responder, […]

CCC Chair Mark D. Hill, CCC Vice Chair Liz Bradley, and CCC Director Ann Schwartz Drobnis provided significant contributions to this post. The Computing Community Consortium (CCC) requests comments by May 28, 2019 on a draft of A 20-Year Community Roadmap for AI Research in the US. Please see links and logistics at the end of this blog post.   This draft arises from a community process that has already involved more than one hundred AI professionals. In Fall 2018, the Computing Community Consortium (CCC) started an initiative to create a Roadmap for Artificial Intelligence to be led by Yolanda Gil (University of Southern California and President of AAAI) and Bart Selman (Cornell University and President Elect of […]

The following is by CCC Director Ann Drobnis.  The Thirty-Third Association for the Advancement of Artificial Intelligence (AAAI) conference is taking place this week in Honolulu, Hawaii. The purpose of this conference is to promote research in artificial intelligence (AI) and scientific exchange among AI researchers, practitioners, scientists, and engineers in affiliated disciplines, making it an ideal place to present the AI Roadmap to the community, seeking input and feedback as the Roadmap is being written. Yolanda Gil and Bart Selman, Co-Chairs of the AI Roadmap were accompanied by workshop co-chairs Marie desJardins, Ken Forbus (Integrated Intelligence Workshop), Dan Weld (Interaction Workshop), and Tom Dietterich (Self Aware Learning Workshop) to […]