The following is from the ACM SIGARCH Computer Architecture Today Blog by CCC Vice Chair Mark D. Hill, the John P. Morgridge Professor and Gene M. Amdahl Professor of Computer Sciences at the University of Wisconsin-Madison. ACM recently announced that computer scientists John Hennessy and David Patterson have shared the 2017 ACM Turing Award with the official citation, “For pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry.” The Turing Award is the highest award in computer science. It is given for “lasting and major technical importance to the computer field” and has been compared to a Nobel Prize, whose categories pre-date […]
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.
John Hennessy and David Patterson Share ACM Turing Award
April 16th, 2018 / in CCC, research horizons, Research News, resources / by Helen WrightNSF WATCH TALK- In the Eye of the Storm: Biometrics, Security and Privacy
April 12th, 2018 / in NSF / by Helen WrightThe next WATCH talk, called In the Eye of the Storm: Biometrics, Security and Privacy, from Dr. Arun Ross at Michigan State University, is Thursday, April 26th 2018, Noon-1PM EST. Arun Ross is a Professor in the Department of Computer Science and Engineering at Michigan State University, and is the Director of the Integrated Pattern Recognition and Biometrics (iPRoBe) Lab. He conducts research on the topic of biometrics, privacy, computer vision and pattern recognition. He is a recipient of the JK Aggarwal Prize and the Young Biometrics Investigator Award from the International Association of Pattern Recognition for his contributions to the field of Pattern Recognition and Biometrics. He was designated a Kavli Fellow by the US […]
Great Innovative Idea- Levels of Learning in General Autonomous Intelligent Agents
April 11th, 2018 / in CCC, Great Innovative Idea, research horizons, Research News / by Helen WrightThe following Great Innovative Idea is from John E. Laird from the Unversity of Michigan. Laird was one of the Blue Sky Award winners at the Association for the Advancement of Artificial Intelligence Conference (AAAI-18) for his paper, coauthored with Shiwali Mohan from the Palo Alto Research Center, on Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents. The Idea Our cool idea is that there are two distinct levels at which humans and general AI systems can learn. Level 1 encompasses innate architectural learning mechanisms that are automatic, online, and effortless – capturing knowledge from the agent’s ongoing experience, such as learning skills, experiential knowledge, or facts. Level 2 encompasses deliberate learning strategies that are realized through the […]
NSF DCL: Stimulating Research Related to Navigating the New Arctic (NNA)
April 10th, 2018 / in Announcements, NSF, research horizons / by Helen WrightThe following is a cross-directorate Dear Colleague Letter (DCL) on stimulating research related to one the NSF’s 10 Big Ideas called Navigating the New Arctic (NNA). It invites proposals in FY 2018 that will advance NNA research through convergent approaches to emerging scientific, engineering, societal, and education challenges. This includes the critically important research on sensor oriented data analytics, such as developing and deploying new sensor-cyber systems that can withstand extreme Arctic conditions and provide continuous analysis and interpretation of Arctic change. February 22, 2018 Dear Colleague: In summer 2017, the first ship to traverse the Arctic Northern Sea Route without assistance from ice-breaking vessels completed its journey. That transformational […]
South Big Data Hub Roundtable- The Future of Work: Intelligent Machines, Automation, and Social Impacts
April 9th, 2018 / in Announcements, CCC / by Helen WrightThe South Big Data Hub’s next Data Science Roundtable called The Future of Work: Intelligent Machines, Automation, and Social Impacts will be held Thursday, April 12th from Noon – 1:15 PM EST. As technological innovation rapidly continues to accelerate, skill requirements for workers are changing even more quickly. These evolving skill requirements are having disruptive effects on higher education and training programs, which are struggling to catch up to the needs of both workers and industries. In this session, the panelists will expire some of the many important questions related to the future of work, training, education, and technology. Speakers: Kevin Crowston, Distinguished Professor, Syracuse University Gordon Freedman, President, National Laboratory for Education Transformation Ioana Marinescu, Faculty Research Fellow, Bureau of Economic Research Shade Shutters, Global […]
NSF Distinguished Lecture – Hitting the Nail on the Head: Interdisciplinary Research in Computer Networking
March 29th, 2018 / in Announcements, CCC, NSF / by Helen WrightComputing Community Consortium (CCC) Executive Council member Jennifer Rexford from Princeton University will present “Hitting the Nail on the Head: Interdisciplinary Research in Computer Networking,” part of the National Science Foundation (NSF) Computer & Information Science & Engineering (CISE) Distinguished Lecture series on April 4th, from 2:00PM to 3:00PM ET. Jennifer Rexford is the Gordon Y.S. Wu Professor of Engineering and the Chair of Computer Science at Princeton University. Before joining Princeton in 2005, she worked for eight years at AT&T Labs—Research. Jennifer received her BSE degree in electrical engineering from Princeton University in 1991, and her PhD degree in electrical engineering and computer science from the University of Michigan in 1996. She is co-author of the […]
