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.


DARPA Broad Agency Announcement- Lifelong Learning Machines (L2M)

May 8th, 2017 / in Announcements, research horizons, Research News, robotics / by Helen Wright

Defense Advanced Research Projects Agency (DARPA) logoThe 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 capable systems that are continually improving and updating from experience. Proposed research should investigate innovative approaches that support key lifelong learning machines technologies and enable revolutionary advances in the science of adaptive and intelligent systems.

See the full BAA here

DARPA Broad Agency Announcement- Lifelong Learning Machines (L2M)