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 ‘Research News’ category

 

SRI Seminar Series Oct 12: Barbara Grosz, “Fostering responsible computing research”

October 10th, 2022 / in AI, Announcements, research horizons, Research News / by Haley Griffin

This Wednesday, Oct 12, from 3:10pmET-4:30pmET, Barbara Grosz is giving a Schwartz Reisman Institute for Technology and Society (SRI) Seminar Series talk. Her talk is titled “Fostering responsible computing research,” and will be followed by interactive discussions in virtual breakout rooms. Grosz is the lead researcher on a recently conducted National Academies’ Computer Science and Telecommunications Board (CSTB) study on the ethical and societal impacts of computer science, and she will be presenting the major findings in the pre-publication report. CCC posted a blog earlier this summer on the CSTB report. In her talk, Grosz will outline tangible steps research institutions can take in order to be more considerate of […]

The Coordinated Science Laboratory Releases a Whitepaper on Key Findings from their Future of Computing Symposium

September 27th, 2022 / in AI, Announcements, research horizons, Research News / by Maddy Hunter

In 2021, the Coordinated Science Laboratory (CSL) celebrated their 70th anniversary with two big events: the Future of Computing Symposium (October 2021) and the AI and Social Responsibility Symposium (March 2022). The CSL is an Interdisciplinary Research Unit (IRU) in The Grainger College of Engineering at the University of Illinois Urbana-Champaign (UIUC) with a rich history of scientific and engineering advances. It brings together researchers from computing, communication, control, circuits, and beyond. CSL’s research covers the full computing stack, from circuits and high-performance applications to signal processing, machine learning, security and trust, and computing’s impact on society and the resulting need for social responsibility. The CSL recently released a white […]

NIH Launches Bridge2AI Program to Accelerate the Widespread Introduction of AI into the Biomedical and Behavioral Science Fields

September 13th, 2022 / in AI, Announcements, CRA, Healthcare, Research News / by Maddy Hunter

Pending funding, the National Institute of Health (NIH) plans to launch the Bridge to Artificial Intelligence (Bridge2AI) program. Collaboratively managed by the NIH Common Fund, the National Center for Complementary and Integrative Health, the National Eye Institute, the National Human Genome Research Institute, the National Institute of Biomedical Imaging and Bioengineering, and the National Library of Medicine, the program seeks to provide comprehensive, high-quality and ethically sourced datasets to catalyze the widespread use of AI in the biomedical and behavioral research communities. AI has the ability to transform the biomedical and behavioral science fields. Possible applications include informing clinical decision making, monitoring and predicting health needs in real time and […]

Register for Intro to NSF’s TIP Directorate Webinar

August 31st, 2022 / in NSF, Research News, resources, Uncategorized / by Maddy Hunter

The National Science Foundation’s (NSF) new Directorate for Technology, Innovation and Partnerships (TIP) is holding an introductory webinar September 27th from 2-3PM ET. The TIP directorate seeks to catalyze research and create breakthrough technologies by fostering a healthy, lucrative ecosystem of high-wage, high-impact STEM jobs. Through a number of programs and investments, TIP works towards accelerating the transition from research to impact and establishing smooth transitions of technological products from the lab to the market. You can learn more about TIP’s programs, objectives and funding opportunities by registering for the webinar here. You can get a brief overview from reading a recent CCC blog post recapping NSF TIP’s first quarterly […]

Stanford Designs new Chip to Improve AI Computing Efficiency

August 24th, 2022 / in AI, research horizons, Research News / by Maddy Hunter

Edge artificial intelligence (AI) is the deployment of AI devices at the edge of networks, in other words these devices are collecting and computing data close to the user. An example of this is a self-driving car. Data pertaining to the proximity of other cars, traffic and obstacles are being collected and computed by the car rather than in a cloud computing facility or private data center. These technological capabilities enable organizations to increase automation and improve processes, efficiency and safety. Currently these edge devices are limited by their battery power. A massive amount of the technology’s energy goes towards moving the data between the compute unit (where the data […]

U.S./U.K. Launch PETs Innovation Prize Challenges

July 27th, 2022 / in Announcements, Privacy, research horizons, Research News / by Maddy Hunter

First announced at President Biden’s Summit for Democracy, the U.S./U.K. privacy-enhancing technologies prize challenges, are now open for registration. Co-sponsored by the National Institute for Standards and Technology and the National Science Foundation, and planned in coordination with the White House Office of Science and Technology Policy and counterparts in the United Kingdom, the prize challenges seek to catalyze research to bring about solutions to financial crime and public health emergencies. Solutions to pressing global issues such as preventing financial cybercrime and enhancing pandemic response capabilities requires vast amount of high quality data. Privacy-enhancing technologies will enable the cultivation and analysis of large datasets without jeopardizing a citizens’ fundamental right […]