The following post is from Khari Douglas, who is currently at the 2019 Heidelberg Laureate Forum in Heidelberg Germany.  Every year at the Heidelberg Laureate Forum (HLF) a hot topic, or theme, related to mathematics and computer science is chosen to be addressed by a panel of experts. At this year’s HLF the hot topic sessions, which took place on Tuesday, September 24th, focused on climate change and what we can do to tackle the problem. The sessions addressed questions like: “How can we predict the next century’s climate if we can hardly predict this weekend’s weather? Is the latest flooding or heat wave due to climate change, or not? Why […]

The National Science Foundation (NSF) has a number of upcoming funding opportunities. Computational and Data-Enabled Science and Engineering  (CDS&E) (PD 12-8084) Full Proposal Window: September 30, 2019 Advanced computational infrastructure and the ability to perform large-scale simulations and accumulate massive amounts of data have revolutionized scientific and engineering disciplines. The goal of the CDS&E program is to identify and capitalize on opportunities for major scientific and engineering breakthroughs through new computational and data analysis approaches. See more at this website here. Computer and Information Science and Engineering (CISE): Core Programs (NSF 19-589) Full Proposal Window: September 30, 2019 The NSF CISE Directorate supports research and education projects that develop new […]

The following blog was written by Computing Community Consortium (CCC) Chair Mark D. Hill from the University of Wisconsin Madison.  This week Cerebras announced a bold design to accelerate deep neural networks with silicon that is not cut into chips. AI and Moore’s Law: Artificial Intelligence (AI) is much in the news for what it can do to today and the promise of what it can do tomorrow (CCC/AAAI 20-Year AI Roadmap). Over half a century, AI innovation has been abetted by a million-fold progress in computer system cost-performance and parallelism. For decades, computer benefits came transparently via repeated doubling of processor performance (popularly called “Moore’s Law”). For the last decade, however, AI–especially for the great successes of […]

Today, the White House, through the National Institute of Standards and Technology (NIST), issued a plan for Federal engagement in the development of technical standards for artificial intelligence (AI). The plan was called for as part of the national strategy for U.S. leadership in AI, the American AI Initiative, launched by Executive Order in February 2019. After receiving broad public input, the technical standards plan provides guidance for Federal agencies, the private sector, and the academic community in the development of technical standards and related tools in support of reliable, robust, and trustworthy AI systems, and identifies priorities for Federal government involvement and leadership in AI standards development. “The Trump […]

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The Computing Community Consortium (CCC) recently released the Research Opportunities in Sociotechnical Interventions for Health Disparity Reduction workshop report. The CCC’s 1.5 day Sociotechnical Interventions for Health Disparity Reduction workshop took place in April 2018 in New Orleans, co-located with the Society for Behavioral Medicine’s 39th Annual Meeting. This cross-disciplinary workshop, brought together leading researchers in computing, health informatics, and behavioral medicine to develop an integrative research agenda regarding sociotechnical interventions to reduce health disparities and improve the health of socio-economically disadvantaged populations. “Health disparities are differences in disease prevalence, incidence, morbidity and/or mortality in one group as compared to the general population. In Western countries, groups which experience disparities in health outcomes […]