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.


Archive for the ‘robotics’ category

 

Upcoming AI for Good Global Summit: AI to Prevent Modern Slavery, Human Trafficking and Forced and Child Labour

February 17th, 2021 / in AAAS, AI, Announcements, CCC, conference reports, conferences, Privacy, research horizons, Research News, resources, robotics / by Helen Wright

AI for Good Global Summit is hosting a webinar on AI to Prevent Modern Slavery, Human Trafficking and Forced and Child Labour on Wednesday, February 24th from 10AMb – 11:30AM EST. This panel will bring together Computing Community Consortium (CCC) Execuitve Council member Nadya Bliss (ASU) along with other members of the CCC/Code 8.7 visioning workshop on Applying AI in the Fight Against Modern Slavery including Alice Eckstein (UNU-CPR), James Goulding (University Of Nottingham), and Anjali Mazumder (The Alan Turing Institute). The goal of the webinar is to discuss promising research avenues within AI and Computational Science as well as some specific cases in which application of these technologies are supporting […]

AAAS 2021- Computing, Artificial Intelligence, and Societal Impacts: An Inflection Point

February 16th, 2021 / in AAAS, Announcements, CCC, conference reports, research horizons, Research News, resources, robotics, Security / by Helen Wright

Significant contributions were provided by CCC Senior Program Associate, Khari Douglas.  The virtual AAAS 2021 meeting took place February 8th – 11th, 2021 and included a highly topical session titled Computing, Artificial Intelligence, and Societal Impacts: An Inflection Point. The February 10th event included former Computing Research Association (CRA) board member Moshe Vardi (Rice University), Computing Community Consortium (CCC) Executive Council member Suresh Venkatasubramanian (University of Utah), Seny Kamara (Brown University), and Dan Reed (University of Utah) as speakers. This session aimed to show how the computing revolution has democratized access to information and disrupted entire economic sectors, with associated human effects, both positive and negative. Likewise, this computing revolution […]

National Robotics Initiative 3.0

February 9th, 2021 / in Announcements, CCC, NSF, podcast, research horizons, Research News, resources, robotics, workshop reports / by Helen Wright

Contributions to this post were provided by CCC Council member Holly Yanco (University of Massachusetts, Lowell).  In 2009, the CCC published a report, A Roadmap for US Robotics, From Internet to Robotics (a.k.a. the Robotics Roadmap), which explored the capacity of robotics to act as a key economic enabler, specifically in the areas of manufacturing, healthcare, and the service industry, 5, 10, and 15 years into the future. An updated version of the Robotics Roadmap was released in March 2013, November 2016, and now most recently in September 2020. See the CCC blog about the 2020 version here.  The original Robotics Roadmap was the basis for the 2011 National Robotics […]

National AI Initiative Office launched by White House

January 13th, 2021 / in AI, Announcements, CCC, robotics, workshop reports / by Helen Wright

The White House yesterday established a new office focused on coordinating U.S. efforts in Artificial Intelligence research. The new National Artificial Intelligence Initiative Office, under the leadership of Founding Director and current U.S. Deputy Chief Technology Officer Lynne Parker, “is charged with overseeing and implementing the United States national AI strategy and will serve as the central hub for Federal coordination and collaboration in AI research and policymaking across the government, as well as with private sector, academia, and other stakeholders.” See the new logo that features a bald eagle clutching a neural network.  The White House Office of Science and Technology Policy (OSTP) established the new office in accordance […]

CCC Council Member Maria Gini Featured in University of Minnesota Article: Designing the Next Generation of Robots

January 12th, 2021 / in Announcements, CCC, CS education, Research News, robotics / by Maddy Hunter

Contributions to this post were provided by CCC Council member Maria Gini. Computing Community Consortium (CCC) Council member and Distinguished Professor of the College of Science and Engineering at the University of Minnesota, Maria Gini was recently featured in an article highlighting the work of U of M’s Minnesota Robotics Institute (MnRI).   The Minnesota Robotics Institute is a unit of U of M’s College of Science and Engineering Department that brings together students and researchers from all over the world to pursue an education in robotics. The article highlighted a couple of ongoing and past projects that have come out of the institute including a robot used to detect autism in […]

CCC Council Members Chad Jenkins and Holly Yanco are Newly Elected AAAI Fellows!

January 11th, 2021 / in Announcements, CCC, robotics / by Helen Wright

Contributions to this post were provided by CRA’s Communication Specialist Shar Steed.  The Association for the Advancement of Artificial Intelligence (AAAI) recently elected its 2021 Fellows. The AAAI Fellows program recognizes individuals who have made significant, sustained contributions — usually over at least a ten-year period — to the field of artificial intelligence. Two of the newly elected fellows are Computing Community Consortium (CCC) Council members!  Odest Chadwicke Jenkins, University of Michigan Jenkins was recently interviewed by the New York Times about his thoughts on the Artificial Intelligence field’s failure to make systems that are accurate for everyone. He is one of the authors of the Next Wave Artificial Intelligence: […]