The following is a guest blog post from CCC Vice Chair and Post Moore’s Law Computing Task Force Chair Mark Hill from University of Wisconsin-Madison and former CCC Chair and Artificial Intelligence Task Force Chair Greg Hager from Johns Hopkins University. In a recent article, “Chips off the Old Block: Computers Are Taking Cues From Human Brains,” the New York Times highlighted the latest new wave of innovation in computer hardware, the foundation of Information Technology that has so altered our world. Like many generations of innovation before it, these innovations are being driven by the insatiable need for additional computing capacity, in this case due to the new demands of the […]
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 ‘machine learning’
Computer Hardware’s Ongoing Metamorphosis, as reported in the New York Times
September 19th, 2017 / in research horizons, Research News / by Khari DouglasU.S. Department of Transportation Webinar on Regional Intelligent Transportation Systems Data Sharing
March 27th, 2017 / in Announcements / by Khari DouglasThe Department of Transportation (DOT) is hosting a free webinar on regional intelligent transportation systems (ITS) data sharing this Friday, March 31st. The webinar will focus on a planned Broad Agency Announcement (BAA) opportunity on regional ITS data sharing and will take place from 10-11 AM ET. Public agencies are planning, developing, and deploying capabilities to capture, integrate, and manage data generated from connected and automated vehicles, mobile devices, advanced roadside technologies, and other sources. Few early deployers of advanced ITS technologies are prepared to share real-time data outside local jurisdictions while protecting privacy and proprietary interests as needed. New, low-cost, interoperable data management methods that enable on-demand data sharing […]
