The organizing committee for the AI for Social Good Workshop has released their workshop report called Artificial Intelligence for Social Good. The Computing Community Consortium (CCC), along with the White House Office of Science and Technology Policy (OSTP), and the Association for the Advancement of Artificial Intelligence (AAAI), co-sponsored this workshop in June 2016 in Washington, DC. This was one of five workshops that OSTP co-sponsored and held around the country to spur public dialogue on artificial intelligence, machine learning, and to identify challenges and opportunities related to AI. The workshop highlighted successful deployments of AI systems directed at addressing specific societal needs. Subsequent discussions explored broader questions as to […]
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.
Archive for the ‘conference reports’ category
The following blog post is by CCC Vice Chair and Executive Council member and University of Wisconsin-Madison Professor Mark D. Hill and co-author of the report. In June 2016, I blogged about the successful Architecture 2030 Visioning Workshop, organized by Luis Ceze of the University of Washington and Thomas Wenisch of the University of Michigan, and partially sponsored by the Computing Community Consortium (CCC) in conjunction with ISCA’16 in Seoul, South Korea. Recently CCC released the final report Arch2030: A Vision of Computer Architecture Research over the Next 15 Years with the endorsement of more forty research leaders in the field. Key findings are below. Progress on these is necessary to provide the cost-performance improvements that information technology creators and beneficiaries have come to depend […]
The organizing committee for the Computing Community Consortium (CCC) sponsored Computer-Aided Personalized Education has released their workshop report. The workshop, held in November 2015, brought together over 50 researchers in the fields of education, computer science, human-computer interaction, and cognitive psychology to address the challenges and future directions of computing-based educational tools. This growing agenda in computing research includes formalizing tasks such as assessment and feedback as computational problems, developing algorithmic tools to solve resulting problems at scale, and incorporating these tools effectively in learning environments. The report examines emerging trends, such as logical reasoning, machine learning, student-computer interaction, and learning science in order to come up with a research […]
The organizing committee for the Computing Community Consortium (CCC) sponsored Promoting Strategic Research on Inclusive Access to Rich Online Content and Services has released their workshop report. The workshop, held in September 2015, brought together almost 40 experts to address the challenges and future research opportunities about access to online content and services. They focused on six active research areas, automatic description of image and video content, online support for deaf people, access to textual content for people with language and learning disabilities, inclusive design of games and simulations, access to large quantitative datasets, maps and 3D printing, and software architecture for configurability. The participants found three main steps that need to be developed in order to […]
The Computing Community Consortium (CCC) sponsored another track in its Blue Sky Ideas Conference Track series 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 purpose of this conference was to promote research in artificial intelligence (AI) and scientific exchange among AI researchers, practitioners, scientists, and engineers in affiliated disciplines. The goal of this track was to present ideas and visions that can stimulate the research community to pursue new directions, such as new problems, new application domains, or new methodologies. The winning papers were: Machine Teaching: an Inverse Problem to Machine Learning and an Approach Toward Optimal Education Xiaojin Zhu (Department of Computer Sciences, […]