In mid-October, the Computing Community Consortium (CCC) will convene a visioning workshop designed to define and recommend improvements to the core components of the artificial intelligence research ecosystem (AIRE). The AIRE workshop — led by Manish Parashar (University of Utah), Vandana Janeja (University of Maryland Baltimore County), Abhishek Bhattacharjee (Princeton University), Edith Elkind (Northwestern University), David Jensen (University of Massachusetts Amherst), Jofish Kaye (Inflection AI & CRA-I Council), William Regli (University of Maryland), and Michela Taufer (University of Tennessee Knoxville) — brings together research community leaders to examine how the structures that support AI research, from peer review and publishing to funding and partnerships, can keep pace with a rapidly […]

The Computing Community Consortium’s (CCC) latest report, Beyond Code: Engineering Trustworthy Software Systems with AI at Scale, takes up the question of what has to change in software engineering once implementation is largely automated. With adoption of AI coding tools now reported at 84% to 90% of developers, much of the work shifts to specifying, verifying, and maintaining what AI produces. This report, however, documents a widening gap between what AI-assisted development is expected to deliver and what these systems can currently do — as well as between the sheer amount of code being generated and the current ability to verify it. The report presents a way forward for closing […]

The Computing Community Consortium (CCC) is excited to release a new key recommendations brief drawn from the recent Computing on the Fly: Navigating a Vision for the Future of Drone Computing report. The report lays out a vision for non-military drone infrastructure by 2035 and identifies twelve technical challenges standing in the way. This brief, Key Recommendations for the Future of Drone Computing, outlines the next steps, translating those challenges into specific actions for the four computing communities whose decisions will determine whether that vision is met: scientific funders, policymakers, industry, and academia. Action is urgent to realize the full potential of non-military drones. The report establishes milestones for 2028, […]

The role of the software engineer is fundamentally changing. AI-assisted software development has, in many cases, become a new norm, fostering a demand for unprecedented speed in production. Yet the transition from traditional coding to AI-powered development is not as simple as receiving a boost to productivity. It requires both brand-new skills on the part of the developer and a more fundamental rethinking of how software — especially at scale — is generated. In this rapidly evolving field, new understandings of how to capture user intent, ensure system quality at AI-generative scales, and train the next generation of developers are essential. Beyond Code Report Beyond Code: The Workshop To better […]

Computing on the Fly: Navigating a Vision for the Future of Drone Computing, the Computing Community Consortium’s (CCC) latest report, presents the benefits of advancing the United States’s non-military drone infrastructure, with numerous potential benefits to industry. Drones have the capacity to provide large-scale support to supply chains (particularly rural routes), for example, as well as revolutionize agricultural efficiency. By 2035, these benefits can be made tangible. Computing on the Fly also goes one stop further, laying out the exact ways to make this happen. Below, find a summary of the ways current industry efforts can advance non-military drone computing.  Key Challenges in Advancing Drone Computing  The report identifies twelve […]

As artificial intelligence (AI) has become increasingly ubiquitous across domains, the need for it to be reliably secure has only grown. Yet in many ways, ensuring the security of AI agents is fundamentally different from the cybersecurity challenges of the past. To address this growing challenge, the U.S. Center for AI Standards and Innovation (CAISI), housed within the National Institute of Standards and Technology (NIST) at the Department of Commerce, released a Request for Information (RFI) on practices and methodologies for measuring and improving the secure development and deployment of AI agent systems. The Computing Community Consortium (CCC) and Computing Research Association (CRA) recently submitted a response to this RFI, […]