In this installment of CCC’s Weekly Computing News, we are sharing an exciting opportunity for undergraduate students across the country to work on cutting-edge research projects at the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign. Students dive deep into machine learning and deep learning The Research Experience for Undergraduates (REU) The Future of Discovery: Training Students to Build and Apply Open Source Machine Learning Models and Tools (FoDOMMaT) program offers an immersive 10-week experience every summer for undergraduates eager to develop practical skills and contribute to real-world projects. Students are paired with two mentors, one focused on research and the other on machine learning expertise. […]
Computing Community Consortium Blog
The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.
Archive for the ‘AI’ category
CCC Weekly Computing News: NCSA Gives Students Opportunities to Learn About Machine and Deep Learning
August 23rd, 2024 / in AI, CCC / by Petruce Jean-CharlesCCC Responds to the NITRD Request for Information on Digital Twins Research and Development
August 22nd, 2024 / in AI, NITRD, Requests for Information / by Catherine GillEnvisioning a future of digital twins leads to near limitless possibilities. Researchers predict digital twins will become increasingly personalized, with every individual having access to a digital twin of their own body. Imagine receiving real time updates from your phone to monitor your health conditions and predict health crises before they happen, or athletes receiving instant updates on their training regimens and recommendations for improving. This future is possible, however significant further research is necessary. In addition, researchers and stakeholders need to be realistic about the current capabilities of these models, as well as informed about the future of development. That is why the Networking and Information Technology Research […]
CCC Weekly Computing News: Using Minecraft to Teach AI Social Intelligence
August 16th, 2024 / in AI, CCC / by Petruce Jean-CharlesIn this installment of CCC Weekly Computing News, we are sharing an interesting relationship between Minecraft and Arizona State University (ASU) as a part of the The Defense Advanced Research Projects Agency’s (DARPA) AI Forward initiative. Teaching AI about social intelligence through Minecraft ASU, in partnership with Aptima, a company that develops solutions to optimize and improve human performance in mission-critical, technology-intensive settings, used Minecraft’s immersive and dynamic environment to conduct groundbreaking research on AI’s social intelligence. Through the Artificial Social Intelligence for Successful Teams (ASIST) project, a four-year program funded by DARPA, researchers collected data from over 1,160 Minecraft games, creating the largest publicly available dataset on human-AI team […]
CCC Q&A: A High Performance Computing Researcher Explains Sustainable AI
July 22nd, 2024 / in AI, CCC / by Petruce Jean-CharlesCCC spoke with one of its council members, Michela Taufer about her work in high performance computing (HPC) and her contributions to sustainable AI. Taufer has profoundly shaped the landscape of HPC through pioneering contributions that transcend traditional boundaries. Her career spans pivotal areas including volunteer computing, large-scale data management analytics workflows, and accelerator-based supercomputing. Taufer introduced groundbreaking techniques to ensure computational accuracy in unpredictable volunteer computing environments, laying a foundation for reproducible outcomes. She also championed principles to enhance data FAIRness long before their widespread adoption, significantly influencing modern data management practices in HPC. Taufer’s innovative solutions, such as the homogeneous redundancy algorithm and composite precision approach, have advanced […]
Visioning Workshop Preview: Information Retrieval in the Age of Generative AI
July 8th, 2024 / in AI, CCC / by Petruce Jean-CharlesEver thought about what it would look like to have a personal assistant with domain-specific knowledge discovery? At the speed of Information Retrieval and Generative AI collaboration, this could be a reality in 10 years. CCC will be hosting a workshop on, “Information Retrieval in the Age of Generative AI,” from July 19-20 in Washington, DC. In today’s digital landscape, IR is undergoing a profound evolution, driven by the convergence of traditional search methods with advanced AI technologies. Key among these technologies are generative AI models like GPT and diffusion models, which represent a significant leap forward in how information is both accessed and processed. These models not only excel […]
What Experts Say the Future of Computing Will Look Like in 40 Years
June 26th, 2024 / in AI, CCC, robotics / by Petruce Jean-CharlesAre you curious about where computational advancements will be in four decades? The Computing Community Consortium’s (CCC) council member Bill Gropp and The Computing Research Association’s Widening Participation (CRA-WP) board member Nancy Amato along with four other faculty members from the University of Illinois at Urbana–Champaign (UIUC) shared their knowledge on how developments in computer science and robotics will impact society by 2067. In an article from Illinois Alumni at the UIUC, these experts see a future of innovation and optimism despite possible challenges. Computer Science In the future, Gropp explained that computing advancements won’t rely on faster hardware alone. Instead, compute speedups will depend on making processes more efficient […]