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 ‘AI’ category

 

Call for Proposals: Climate Change AI Innovation Grants

August 30th, 2021 / in AI, Announcements, CCC, CCC-led white papers, NSF, policy, research horizons, Research News / by Helen Wright

The Climate Change AI (CCAI) organization, which is composed of volunteers from academia and industry who believe that tackling climate change requires concerted societal action in machine learning, has announced a new Call for Proposals: Climate Change AI Innovation Grants.  Artificial Intelligence (AI) and machine learning (ML) can help support climate change mitigation and adaptation, as well as climate science, across many different areas, for example energy, agriculture, forestry, climate modeling, and disaster response (for a broader overview of the space, please refer to Climate Change AI’s interactive topic summaries and materials from previous events). However, impactful research and deployment have often been held back by a lack of data […]

Melanie Mitchell on the Importance of Training AI to Recognize Analogies

August 18th, 2021 / in AI, CCC, research horizons, Research News / by Maddy Hunter

Melanie Mitchell, Computing Community Consortium (CCC) Council member and Professor at the Santa Fe Institute, was recently featured in a Scientific American article, ‘The Computer Scientist Training AI to Think with Analogies’. The article focused on explaining the importance of getting Artificial Intelligence (AI) to recognize and use analogies and included an interview on the topic from Quanta.  If and how AI can reach the same level of intelligence and independence as humans is an interdisciplinary problem that has plagued the field for many decades. Mitchell believes the key to success is getting these machines to think with analogies. The greatest advances in AI have focused on training to succeed […]

Request for Information (RFI) on an Implementation Plan for a National Artificial Intelligence Research Resource

August 2nd, 2021 / in AI, Announcements, NSF / by Helen Wright

The White House Office of Science and Technology Policy and the National Science Foundation released a Request For Information (RFI) to gather public input on the National AI Research Resource (NAIRR) implementation plan. This is following the announcement last month about the launch of the Task Force, which is mandated by Congress to study the feasibility of and develop a roadmap to implement a National AI Research Resource. This RFI seeks input from a broad array of stakeholders on the topics set forth below. Comments from the public will be used to inform the Task Force’s consideration of options and the development of an implementation roadmap. Responders are invited to provide […]

Listen to Catalyzing Computing Podcast, Episode 36 – Computer Architecture with Mark D. Hill (Part 2)

June 21st, 2021 / in AI, Announcements, podcast / by Khari Douglas

A new episode of the Computing Community Consortium‘s (CCC) official podcast, Catalyzing Computing, is now available. In this episode, Khari Douglas (CCC Senior Program Associate) interviews Dr. Mark D. Hill, the Gene M. Amdahl and John P. Morgridge Professor Emeritus of Computer Sciences at the University of Wisconsin-Madison and the Chair Emeritus of the CCC Council. This episode was recorded prior to Dr. Hill joining Microsoft as a Partner Hardware Architect with Azure. His research interests include parallel computer system design, memory system design, computer simulation, deterministic replay and transactional memory. In this episode, Hill discusses the importance of computer architecture, the 3C model of cache behavior, and overcoming the […]

Watch “The Artificial Intelligence Era: What will the future look like?”

May 11th, 2021 / in AI, CS education, pipeline / by Khari Douglas

Recently, the Bulletin of the Atomic Scientists — a media organization that “equips the public, policymakers, and scientists with the information needed to reduce man-made threats to our existence” and is famous for their Doomsday Clock — held a virtual program titled, “The Artificial Intelligence Era: What will the future look like.”  Nadya Bliss, a Computing Community Consortium (CCC) Executive Council member and the Executive Director of the Global Security Initiative at Arizona State University, moderated the program. The speakers were Eric Horvitz, Chief Scientific Officer at Microsoft and a former CCC Council member, and Mary (Missy) Cummings, the director of Duke’s Humans and Autonomy Laboratory and a co-organizer of […]

White House Office of Science and Technology Policy Launches AI.gov

May 6th, 2021 / in AI, Announcements, CRA, pipeline, research horizons / by Helen Wright

Yesterday, the White House Office of Science and Technology Policy’s National Artificial Intelligence (AI) Initiative Office launched the new AI.gov website.  This website is the home of the National AI Initiative Act of 2020 and as stated in the press release “the connection point to ongoing activities to advance U.S. leadership in AI from policy documents and strategies, to applications of AI, to the latest news and updates from the agencies and federal advisory boards helping shape the activities of the National AI Initiative.”  National AI Initiative Act of 2020 became law on January 1, 2021, providing for a coordinated program across the entire Federal government to accelerate AI research […]