Computing Community Consortium (CCC) Council member Maja Matarić, Chaired Professor and Vice Dean for Research at the University of Southern California will be giving the next free ACM Learning Webinar on “Socially Assistive Robotics” on Monday (June 4th) at 2PM PDT/5 PM ET.  Register now  Plamen Petrov, Director of Cognitive Technology, KPMG LLP; SIGAI Industry Liaison Officer and Rose Paradis, Machine Learning Research Scientist at Leidos Data Analytics Products and Services; SIGAI Secretary/Treasurer, will moderate the questions and answers session. Robotics is booming all around us. A field that was originally driven by the desire to automate physical work is now raising concerns about the future of work. Less discussed but no more important are the implications […]

The computers, smartphones, and tablets that we use every day are becoming more advanced. Older adults who have cognitive or physical disabilities might have trouble using such devices. Technology should not just be for the young. We need to start thinking about how we can better adapt devices to fit the needs of our aging population. Recently, the Wired posted an article called Bigger, Brighter, Simpler: A Tablet For The Mature User that highlights some features of tablets which allows older adults to use them more successfully. These features include: Clear Notifications A bright light illuminates the tab of the person just contacted, so users can keep track of in-progress conversations. Real Buttons Tablets […]

In July, Computing Community Consortium (CCC) Council member Manuela Veloso will join JPMorgan Chase & Co. as head of artificial-intelligence research. She is currently the head of the Machine Learning Department at Carnegie Mellon University. From the J.P. Morgan Press Release: J.P. Morgan has already started to apply machine learning technology across its businesses and functions, and this expanded effort will be aimed at identifying further opportunities. A.I. is among the areas of investment within the bank’s annual technology budget of $10.8 billion, with more than half earmarked for new investments. Veloso is a Past President of AAAI (Association for the Advancement of Artificial Intelligence), and the co-founder and a Past President of […]

CCC Council member Maja Mataric from the University of Southern California provided contributions to this post. If we train Artificial Intelligence (AI) to do our work for us it will still need to be periodically checked for errors and random noise. This detailed human oversight is not something we can skip. As AI has more and more power, it will also have more responsibility and the decisions it makes could be deadly if incorrect. We still have so much to learn about building machines that could potentially make life-altering decisions, and we cannot predict what kinds of serious engineering flaws will occur in the future. Michael I. Jordan from the […]

The next WATCH talk, called Why the Census Bureau Adopted Differential Privacy for the 2020 Census of Population, from John M. Abowd, Chief Scientist and Associate Director for Research and Methodology at the U.S. Census Bureau, is Wednesday, June 6th 2018, Noon-1PM EST. Dr. Abowd was the lead author of the Computing Community Consortium (CCC) white paper on Privacy-Preserving Data Analysis for the Federal Statistical Agencies in January 2017.  John M. Abowd is Associate Director for Research and Methodology and Chief Scientist at the United States Census Bureau and the Edmund Ezra Day Professor of Economics, Professor of Statistics and Information Science at Cornell University. At the Census Bureau, he leads a directorate of research centers, each devoted […]

The following blog post is by Robotic Materials organizer Nikolaus Correll from the University of Colorado at Boulder. The Computing Community Consortium (CCC) recently sponsored a workshop on “Robotic Materials” in Washington, DC. This workshop was the second in a series of interdisciplinary workshops aimed at transforming our notion of materials to become “robotic”, that is have the ability to sense and impact their environment. Participants were recruited from a diverse set of stakeholders including material and computer scientists, researchers in government labs, industry, government agencies, and policymakers. There was broad agreement that computation will become an important part of future material systems. Computation will allow materials to analyze, change, store […]