The Defense Advanced Research Projects Agency (DARPA) just released a Broad Agency Announcement (BAA) on Lifelong Learning Machines (L2M) with a June 21, 2017, response date. DARPA is soliciting highly innovative research proposals for the development of fundamentally new machine learning approaches that enable systems to learn continually as they operate and apply previous knowledge to novel situations. Current artificial intelligence (AI) systems only compute with what they have been programmed or trained for in advance; they have no ability to learn from data input during execution time, and cannot adapt on-line to changes they encounter in real environments. The goal of the Lifelong Learning Machines (L2M) program is to develop substantially more […]

CCC Chair Beth Mynatt contributed to this post.  The Computing Community Consortium (CCC) in collaboration with the Electrical and Computer Engineering Department Heads Association (ECEDHA) recently released eight white papers describing a collective research agenda for intelligent infrastructure. These papers draw from a large network of expertise including CCC Council members, former CCC Council members, CRA Board members, and other members of the academic and industry communities for a total of 40 different authors from 27 different institutions. We will be blogging about each paper over the next few weeks. Today, we start with the overview paper: A National Research Agenda for Intelligent Infrastructure. Our infrastructure touches the day-to-day life […]

Contributions to the following blog were made by former CCC Chair Greg Hager and Tom Kalil, former Deputy Director for Technology and Innovation in the Office of Science and Technology Policy.   It is clear that Artificial Intelligence is having an impact on society and will continue to do so in the foreseeable future, in ways we cannot even imagine today. Through its AI and Robotics Task Force, the Computing Community Consortium (CCC) seeks to articulate the unique research challenges and under-recognized opportunities in AI. This includes a recent addition to the website entitled “AI for Good: Maximizing the economic and societal benefits of AI” authored by Tom Kalil, former […]

The Fifth AAAI Conference on Human Computation and Crowdsourcing will be held in Quebec City, Canada, October 24-26, 2017. It will be sponsored by the Association for the Advancement of Artificial Intelligence. Included below is the Call for Papers, as well as an overview of the following submission deadlines: May 4, 2017: Full Papers Submission Deadline June 30, 2017: Works-in-Progress, Posters, and Demos Submission Deadline August 1, 2017: Doctoral Consortium Application Deadline HCOMP strongly believes in inviting, fostering, and promoting broad, interdisciplinary research on crowdsourcing and human computation. Submissions are invited from the broad spectrum of related fields and application areas including (but not limited to): Human-centered crowd studies: e.g., human-computer interaction, […]

It was just announced that Eric Horvitz, former Computing Community Consortium (CCC) Council member and current Co-Chair of the AI and Robotics Task Force, is the new head of Microsoft Research. Yesterday, it was announced that Jeannette Wing was leaving to lead Columbia’s Data Science Institute. Horvitz has long been a leading voice in AI safety and ethics. Recently, he announced the new Partnership on AI that consists of a consortium including Microsoft, Google, Amazon, Facebook, and IBM. The goal of the partnership is to bring industry together to talk about the use of AI for humanity’s benefit. From Quartz: Horvitz wants to fundamentally change the way humans interact with machines, whether that’s building a new way […]

The National Science Foundation (NSF) Engineering Directorate‘s Faculty Early Career Development (CAREER) program has awarded 156 early career engineering faculty with at least $500,000 for their plan to make advances in engineering. The CAREER program, which extends across all of the agency’s science and engineering directorates, allows promising junior faculty to pursue outstanding research and excellence in education while integrating both. Awardees have the flexibility to explore unexpected new terrain uncovered in the course of their research. A number of these CAREER winners have ties to computer science: CAREER: Integrated Research and Education on Delta-Sigma Based Digital Signal Processing Circuits for Low-Power Intelligent Sensors Principal Investigator: Wei Tang, New Mexico State University From […]