The Networking and Information Technology Research and Development (NITRD) National Coordination Office (NCO), on behalf of the National Science and Technology Council‘s (NSTC) Select Committee on Artificial Intelligence, put out a Request for Information (RFI) from the public on the National Artificial Intelligence Research and Development Strategic Plan. The Computing Community Consortium (CCC) responded to the RFI and submitted their response, which was then endorsed by a number of societies in a corresponding statement. The CCC agreed with the NITRD NCO and Select Committee “that advances in AI will have a transformational impact on society, and that sustained support for fundamental research in a wide array of AI-related topics will […]
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 ‘RFI’
CCC Response to NITRD “RFI on Update to the National Artificial Intelligence Research and Development Strategic Plan”
October 29th, 2018 / in Announcements, CCC, research horizons, Research News / by Helen WrightIARPA- Future Computer Systems (FCS) RFI
October 22nd, 2018 / in Announcements, research horizons, Research News / by Helen WrightThe Intelligence Advanced Research Projects Activity (IARPA) is seeking information on research efforts in the area of innovative, new computer hardware and software architectures with intelligent computer environments. This request for information (RFI) is issued solely for information gathering and planning purposes; it does not constitute a formal solicitation for proposals. Over the past 60 years, computers have become orders-of-magnitude faster and both more complex and more diverse, but the computational model (i.e., the model for how algorithms/computations are executed) has not substantially changed. Consequently, the demands on users for system expertise have escalated to prohibitive levels. Future computing systems (FCS) should be a revolutionary class of advanced computers with both a […]
Request for Comments on NIST IoT Draft Reports
October 5th, 2018 / in Announcements / by Khari DouglasThe National Institute of Standards and Technology (NIST) has released two new requests for comments on draft publications related to the Internet of Things (IoT). The first document addresses trust concerns within IoT, while the second is focused on privacy risks within the space. The requests for comments announcement and draft abstracts can be found below. NIST Internal Report (NISTIR) 8222, Internet of Things (IoT) Trust Concerns Note: Draft NISTIR 8222 has been temporarily withdrawn to synchronize with other pending documents on this topic, and to ensure time for stakeholders to review and comment. Once the draft document has been re-posted, the comment period will be extended Announcement […]
NITRD Request for Information on the AI Strategic Plan
September 27th, 2018 / in Announcements / by Khari DouglasOn behalf of the National Science and Technology Council’s Select Committee on Artificial Intelligence, the Networking and Information Technology Research and Development (NITRD) National Coordination Office has released a Request for Information (RFI) on updates to the 2016 National Artificial Intelligence Research and Development Strategic Plan. The 2016 National Artificial Intelligence Research & Development Strategic Plan focused on research areas that industry is considered unlikely to address and identified 7 strategies for Federally-funded AI research: Strategy 1: Make long-term investments in AI research. Prioritize investments in the next generation of AI that will drive discovery and insight and enable the United States to remain a world leader in AI. Strategy 2: Develop […]
U.S. Department of Energy Request for Information on Machine Learning for Geothermal Energy and the Geosciences
May 22nd, 2018 / in Announcements, policy, research horizons, Research News / by Helen WrightThe following is a Request for Information (RFI) from the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy. The Geothermal Technologies Office (GTO), within the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy, announces an RFI seeking feedback from industry, academia, research laboratories, government agencies, and other stakeholders regarding research opportunities associated with applying machine learning techniques toward challenges in the geosciences that are relevant to geothermal energy. With respect to the overall goals of establishing the practice of machine learning in the geothermal industry and maximizing the value of the rich datasets available to the geosciences, GTO is seeking input in three areas: Identifying […]
RFI on Integration of Automated Driving Systems (ADS) into the Highway Transportation System
February 15th, 2018 / in Announcements, research horizons, Research News / by Helen WrightThe US Department of Transportation Federal Highway Transportation System has released a Request for Information on Integration of Automated Driving Systems (ADS) into the Highway Transportation System. Responses are due February 24th, 2018. Summary: Automated Driving Systems (ADS) are increasling being tested and introduced onto the public roadways. The FHWA is interested in hearing from the public, including stakeholders (e.g. State and local agencies, vehicle manufacturing industry, road hardware and intelligent transportation systems industry, related associations, transporation advocates, ADS hardware and software platform developers, etc.) on a range of issues related to assessing the infrastructure requirements and standards that may be necessary for enabling safe and efficient operations of ADS. For […]







