Google has launched an “AI for Social Good” program to support artificial intelligence research and engineering with a focus on developing solutions for a range of global challenges. From an October 29th Google Blog post by Jeff Dean (Google AI): For the past few years we’ve been applying core Google AI research and engineering to projects with positive societal impact, including forecasting floods, protecting whales, and predicting famine. Today we’re unifying these efforts in a new program called AI for Social Good. We’re applying AI to a wide range of problems, partnering with external organizations to work toward solutions. The program will apply these core research and engineering efforts to AI projects with the potential to create positive […]

The U.S. Department of Transportation (DOT) is committed to facilitating a new era of transportation innovation and safety and ensuring that our country remains a leader in automation. It is acting as a convener and facilitator, partnering with a broad coalition of industry, academic, states and local, safety advocacy, and transportation stakeholders to support the safe development, testing, and deployment of automated vehicle technology. Recently, the DOT put out a request for public comment on the document, Preparing for the Future of Transportation: Automated Vehicles 3.0 (AV 3.0). This document builds upon Automated Driving Systems: A Vision for Safety 2.0 and expands the scope to all surface on-road transportation systems, and was developed through the input […]

As part of the Computing Community Consortium (CCC) Early Career Researcher (ECR) Symposium, described in full here, we featured a number of visioning workshops CCC has held over the past year. CCC task force members and workshop organizers led the talks. The purpose of these sessions was to bring the community together, tell them what the CCC is doing, and then see if they could provide more insight. All the discussions that were generated from the sessions seemed to follow a general idea- computer science did X so now how do we move forward? See all the videos from the different sessions here. The sessions and their corresponding problems included: […]

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 […]

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 […]

The Defense Advanced Research Projects Agency (DARPA) just released a Broad Agency Announcement (BAA) on Machine Common Sense (MCS) with a December 18, 2018, response date. DARPA is soliciting innovative research proposals in the area of machine common sense to enable Artificial Intelligence (AI) applications to understand new situations, monitor the reasonableness of their actions, communicate more effectively with people, and transfer learning to new domains. Proposed research should investigate innovative approaches that enable revolutionary advances in science, devices, or systems. Machine common sense has long been a critical—but missing—component of AI. Recent advances in machine learning have resulted in exciting new capabilities, but machine reasoning remains narrow and highly specialized. Developers must carefully train or […]