Computing Research Association (CRA) Board Member Timothy M. Pinkston will be moderating a panel on “Valuing Diversity, Equity, and Inclusion in Our Computing Community” at this year’s co-located HPCA’21, PPoPP’21, CGO’21, and CC’21 conferences from 1:30 to 3 PM (EST) on March 3rd.    Panel Abstract: There is a movement occurring broadly across many scientific and engineering fields, including widely within our computing community, toward making tangible progress through intentional actions and interventions for advancing and valuing diversity, equity, and inclusion.  There is also a movement toward dismantling structural and/or systemic factors—especially but not limited to racial and gender biases—that may be standing in the way of making much needed progress in advancing and valuing diversity, […]

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 […]

The AI for Good Global Summit, “an all-year digital event, featuring weekly programming across multiple formats, platforms and time-zones,” will hold the AI to Prevent Modern Slavery and Child Trafficking webinar on Wednesday, February 24th 4pm – 5:30 pm CET (10am – 11:30 am EST).  From the webinar webpage: “With Target 8.7 of the Sustainable Development Goals, all UN Member States committed to take “immediate and effective measures to eradicate forced labour, end modern slavery and human trafficking and secure the prohibition and elimination of the worst forms of child labour, including recruitment and use of child soldiers, and by 2025 end child labour in all its forms.” Understanding what […]

On day two of the Virtual Heidelberg Laureate Forum (HLF) 2020, Robert Endre Tarjan and Donald Ervin Knuth engaged in a freewheeling conversation about mathematics, computer science, and art. Donald Knuth was the 1974 ACM A.M. Turing Award winner for “for his major contributions to the analysis of algorithms and the design of programming languages, and in particular for his contributions to the ‘art of computer programming’ through his well-known books in a continuous series by this title.” Robert Tarjan won the Nevanlinna Prize in 1982 “for devising near-optimal algorithms for many graph-theoretic and geometric problems for the development and exploitation of data structures supporting efficient algorithms, and for contributing several algorithmic analyses of striking profundity […]

How can computing technology impact global health, particularly with regards to the COVID-19 pandemic? Shwetak Patel, 2018 ACM Prize in Computing winner and Computing Community Consortium (CCC) council member, addressed this question on the second day of the Virtual Heidelberg Laureate Forum (HLF) 2020. Patel, an entrepreneur and professor of computer science at the University of Washington, won the 2018 Prize for “contributions to creative and practical sensing systems for sustainability and health.” During his presentation, Patel highlighted a few of the use cases of computing technology on healthcare: for instance, AI has improved screening and diagnostic capabilities by reading X-rays and radiology scans and the ubiquity of mobile phones makes them a great […]

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 […]