The Association for Computing Machinery (ACM) and the IEEE Computer Society announced Kunle Olukotun, a Professor at Stanford University and former Computing Community Consortium (CCC) workshop organizer, as the recipient of the 2023 ACM-IEEE CS Eckert-Mauchly Award for contributions and leadership in the development of parallel systems. The Eckert-Mauchly Award is known as the computer architecture community’s most prestigious award. It is co-sponsored by ACM and the IEEE Computer Society and comes with a $5,000 prize. In the early 1990s, Olukotun became a leading designer of a new kind of microprocessor known as a “chip multiprocessor”—today called a “multicore processor.” His work demonstrated the performance advantages of multicore processors over […]

With the rise of Artificial Intelligence (AI) and its increasingly ubiquitous role in society, the Biden administration, a multitude of government agencies, and nonprofits are turning their attention to the assurance and implementation of responsible AI practices. The Center for Security and Emerging Technology (CSET) is no exception and has contributed to the effort with three recent reports seeking to help organizations implement responsible AI. A Matrix for Selecting Responsible AI Frameworks By Mina Narayanan and Christian Schoeberl Synopsis: Process frameworks provide a blueprint for organizations implementing responsible artificial intelligence (AI). A new issue brief by CSET’s Mina Narayanan and Christian Schoeberl presents a matrix that organizes approximately 40 process […]

The President’s Council of Advisors on Science and Technology (PCAST) recently created a working group on physical resilience. The working group is made up of cyber-security experts from across academia, government and industry with the intent to identify research areas and possible solutions, as well as, advance current approaches to bolstering cyber-physical resilience.  Among the new working group members is former Computing Community Consortium (CCC) Council Member Kevin Fu. Kevin Fu is a Professor of Electrical & Computer Engineering in the College of Engineering and the Khoury College of Computer Sciences at Northeastern University. Fu served on the CCC Council from 2015-2019. During his time at the CCC, Kevin was […]

The Biden-Harris Administration is continuing their recent efforts to advance the research, development, and deployment of responsible AI. With the rise of AI and its increasing capabilities these initiatives are meant to protect American citizens’ rights and safety. Last week the CCC blog highlighted responsible AI efforts from the White House. Yesterday the White House announced three more initiatives summarized below. An update to the National AI Research and Development Strategic Plan. This plan builds on plans issued in 2016 and 2019, and sets out key priorities and research goals to guide federal investments in AI research and development (R&D). It will focus federal investments in R&D to promote responsible […]

The following is a joint Dear Colleague Letter from eight Assistant Directors at the National Science Foundation – Susan S. Margulies (Directorate for Engineering), Sean L. Jones (Directorate for Mathematical and Physical Sciences), Simon Malcomber (Directorate for Biological Sciences), Margaret Martonosi (Directorate for Computer and Information Science and Engineering), Alexandra R. Isern (Directorate for Geosciences), Sylvia M. Butterfield (Directorate for Social, Behavioral, and Economic Sciences),  James L. Moore III (Directorate for STEM Education) and Erwin Gianchandani (Directorate for Technology, Innovation and Partnerships). With this DCL, the National Science Foundation (NSF) invites interdisciplinary groups of Principal Investigators (PIs) to develop potentially transformative, convergent, fundamental research proposals in the area of clean energy […]

Computing Community Consortium (CCC) council member David Danks was recently featured on ACM News for his involvement in a CCC-sponsored scientific session at AAAS 2023 “Maintaining a Rich Breadth for Artificial Intelligence.” The session featured discussions highlighting the importance of incorporating a broad range of multi-discipline research and expertise. Panelists recognized that neural networks and deep learning have driven progress in AI over the year resulting in an imbalance and dominance of these disciplines in AI research. These silos can stunt the development of AI and lead to missed opportunities for growth in the field. Accompanied by panelists Melanie Mitchell and Bo Li, David Danks discussion topic: “Let a Thousand […]