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 […]

The Computing Community Consortium (CCC) will hold a visioning workshop in Atlanta, GA on March 14-15, 2019 to discuss and articulate research visions for authoring rich media content for new workforce training. The workshop aims to articulate research challenges and needs and to summarize the current state of the practice in this area. This workshop is in response to growing needs in the field and new research programs such as the National Science Foundation (NSF) Future of Work at the Human-Technology Frontier: Advancing Cognitive and Physical Capabilities (FW-HTF). Historically, materials such as books and movies were used in addition to hands-on experiences for education and practical training. Increasingly, various other types of computer generated […]

In July, Computing Community Consortium (CCC) Council member Manuela Veloso will join JPMorgan Chase & Co. as head of artificial-intelligence research. She is currently the head of the Machine Learning Department at Carnegie Mellon University. From the J.P. Morgan Press Release: J.P. Morgan has already started to apply machine learning technology across its businesses and functions, and this expanded effort will be aimed at identifying further opportunities. A.I. is among the areas of investment within the bank’s annual technology budget of $10.8 billion, with more than half earmarked for new investments. Veloso is a Past President of AAAI (Association for the Advancement of Artificial Intelligence), and the co-founder and a Past President of […]

The following blog post is by Robotic Materials organizer Nikolaus Correll from the University of Colorado at Boulder. The Computing Community Consortium (CCC) recently sponsored a workshop on “Robotic Materials” in Washington, DC. This workshop was the second in a series of interdisciplinary workshops aimed at transforming our notion of materials to become “robotic”, that is have the ability to sense and impact their environment. Participants were recruited from a diverse set of stakeholders including material and computer scientists, researchers in government labs, industry, government agencies, and policymakers. There was broad agreement that computation will become an important part of future material systems. Computation will allow materials to analyze, change, store […]

The following Great Innovative Idea is from Laura Major, the Vice President of Engineering at CyPhy Works. Major was one of the Blue Sky Award winners at the International Symposium on Robotics Research (ISRR 17) in Puerto Varas, Chile for her paper, Autonomous Agents in the Wild: Human Interaction Challenges.  The Idea Autonomy is moving into commercial applications, where it is being encountered by untrained, unfamiliar consumers. These individuals, with little exposure to autonomy or its principles, will be using advanced automation to perform safety-critical tasks such as driving their cars or flying video-capture drones. While advanced automation has been applied in industrial applications for decades, with experts using it to monitor and control highly […]