Are you a Ph.D. candidate or postdoctoral researcher in the field of artificial intelligence looking for a new opportunity? Do you want to connect with leading research groups and research institutions from Germany? The DAAD’s Postdoctoral Networking Tour in Artificial Intelligence is your opportunity to get a unique insight into the German AI research landscape. During the one-week virtual tour, you will connect directly to leading researchers. Additionally, you will also be supported for customized on-site-visits as soon as COVID-19 restrictions allow to do so. The virtual tour with a focus on Data Science and Artificial Intelligence will take place from 26 to 30 April 2021. You should have: a […]

Melanie Mitchell, Computing Community Consortium (CCC) Council member and Professor at the  Santa Fe Institute and Portland State University was recently interviewed on the Medscape podcast, Medicine and the Machine in an episode titled ‘Can AI Exist in Medicine Without Human Oversight?. The podcast, led by Medscape editor-in-chief Eric Topol and Abraham Verghese from Stanford, explores critical questions and discussions on artificial intelligence’s (AI) impact on modern medicine. While it was acknowledged that AI has made great strides in the past decade on accomplishing narrow tasks, the episode highlights that the technology still lacks the ability to work autonomously in the field of medicine. Making this a possibility would require […]

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: […]

As part of the rollout of the 2020 Computing Research Associations (CRA) Quadrennial Papers, the Computing Community Consortium (CCC) is pleased to publish the final group of papers around the “Artificial Intelligence (AI)” theme, including papers on AI being deployed at the edge of the network, cooperation between AI and humans, new approaches to understanding AI’s impact on society, AI-driven simulators, and the next generation of AI. The Quadrennial Papers are intended to help inform the computing research community and those who craft science policy about opportunities in computing research to help address national priorities. This group of papers is the final installation of the CCC’s contribution, in addition to […]

The Computing Community Consortium (CCC) is pleased to announce the release of the Assured Autonomy report, titled Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust.   The report is the result of a year-long effort by the CCC and over 100 members of the research community, led by Ufuk Topcu (The University of Texas at Austin). Workshop organizers included Nadya Bliss (Arizona State University and CCC), Nancy Cooke (Arizona State University), Missy Cummings (Duke University), Ashley Llorens (Johns Hopkins University, Applied Physics Laboratory), Howard Shrobe (Massachusetts Institute of Technology), and Lenore Zuck (University of Illinois at Chicago).  Given the immense interest and investment in autonomy, a series of […]

As part of the first day of the Virtual Heidelberg Laureate Forum (HLF) David A. Patterson, who won the 2017 ACM A.M Turing Award “for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry,” shared a presentation titled Architecture Innovation Accelerates Artificial Intelligence.  To begin, Patterson gave a brief overview of the history of AI: it started with top-down approaches where a programmer would attempt to describe all the rules with the proper logic for the machine, but other researchers argued that was impossible and instead advocated for a bottom up approach where you feed the machine data and it learns for itself, i.e. machine […]