The following Great Innovative Idea is from David H. Ackley from the University of New Mexico. His Indefinite Scalability for Living Computation paper was one of the winners at the Computing Community Consortium (CCC) sponsored Blue Sky Ideas Track Competition at the 30th Association for the Advancement of Artificial Intelligence (AAAI) Conference on Artificial Intelligence (AAAI-16), February 12-17, 2016 in Phoenix, Arizona. The Innovative Idea Traditional digital computers employ hardware determinism, meaning that running a program twice on the same inputs is guaranteed to produce the same outputs. Determinism greatly simplifies programming the machine, but ultimately limits its size—and encourages the development of software that is highly efficient, but also extremely fragile, and all but impossible to keep secure. The blue sky idea is […]
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 ‘GII’
Great Innovative Idea- Indefinite Scalability for Living Computation
March 23rd, 2016 / in CCC, Great Innovative Idea / by Helen WrightGreat Innovative Idea- Querying Historical Maps as a Unified, Structured, and Linked Spatiotemporal Source
February 2nd, 2016 / in Great Innovative Idea, Research News / by Helen WrightThe following Great Innovative Idea is from Yao-Yi Chiang from the University of Southern California. His Querying Historical Maps as a Unified, Structured, and Linked Spatiotemporal Source paper was the first place winner at the Computing Community Consortium (CCC) sponsored Blue Sky Ideas Track Competition at the ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2015 (SIGSPATIAL 2015) in Seattle, Washington. The Innovative Idea Historical maps hold a great deal of detailed geographic information at various times in the past but finding relevant maps is difficult and the map content are not machine-readable. Using computer algorithms and geospatial technology applications, I am building the techniques to unlock historical information from maps. I envision a […]
Great Innovative Idea- Privacy-Preserving Inference of Social Relationships from Location Data
January 4th, 2016 / in Announcements, Great Innovative Idea / by Helen WrightThe following Great Innovative Idea is from Cyrus Shahabi, Liyue Fan, and Luciano Nocera from the University of Southern California, Li Xiong from Emory University, and Ming Li from University of Arizona. Their Privacy-Preserving Inference of Social Relationships from Location Data paper was one of the winners at the Computing Community Consortium (CCC) sponsored Blue Sky Ideas Track Competition at the ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2015 (SIGSPATIAL 2015) in Seattle, Washington. The Innovative Idea Social relationships between people, e.g., whether they are friends with each other, can be inferred by observing their behaviors in the real world. Thanks to the popularity of GPS-enabled mobile devices or online services, a large amount of high-resolution […]
Great Innovative Idea- Python Tutor
December 2nd, 2015 / in CCC, Great Innovative Idea / by Helen WrightThe following Great Innovative Idea is from Philip J. Guo, Assistant Professor in the Department of Computer Science at the University of Rochester. Philip recently attended the Computing Community Consortium Computer-Aided Personalized Education Workshop in Washington, DC and presented his work on Python Tutor. The Innovative Idea One of the most fundamental skills to develop when learning computer programming is forming a mental model of how the computer executes a piece of code step-by-step. Instructors often draw diagrams to help learners form these mental models. But what if no instructor is available? I have developed a Web-based tool called Python Tutor (http://pythontutor.com/) that can automatically draw these diagrams for learners. As its […]
Great Innovative Idea- End-to-End Training of Deep Visuomotor Policies
September 2nd, 2015 / in Announcements, research horizons, Research News / by Helen WrightThe following Great Innovative Idea is from Sergey Levine, Chelsea Finn, Trevor Darrell, and Pieter Abbeel in the Electrical Engineering and Computer Sciences (EECS) Department at the University of California Berkeley. Their End-to-End Training of Deep Visuomotor Policies paper was one of the winners at the Computing Community Consortium (CCC) sponsored Blue Sky Ideas Track Competition at the AAAI-RSS Special Workshop on the 50th Anniversary of Shakey: The Role of AI to Harmonize Robots and Humans in Rome, Italy. It was a half day workshop on July 16th during the Robotics Science and Systems (RSS) 2015 Conference. The Innovative Idea Techniques like reinforcement learning and optimal control offer the promise of automating robotic decision making by using […]
Great Innovative Idea- Emerging Architectures for Global System Science
August 5th, 2015 / in Announcements, research horizons, Research News / by Helen WrightThe following Great Innovative Idea is from Michela Milano at the University of Bologna-Italy and Pascal Van Hentenryck from NICTA Optimisation Research Group and the University of Michigan. Their Emerging Architectures for Global System Science paper was one of the winners at the Computing Community Consortium (CCC) sponsored Blue Sky Ideas Conference Track at the 29th Association for the Advancement of Artificial Intelligence (AAAI) Conference on Artificial Intelligence (AAAI-15), January 25-30, 2015 in Austin, Texas. The Innovative Idea Our society is organized around a number of (interdependent) global systems: Logistic and supply chains, health services, energy networks, financial markets, computer networks, and cities. Typically, people optimize these systems by considering sub-systems in isolation and ignoring aspects that cannot be modelled easily such […]