A Joint Initiative to Secure the Future of AI The rapid deployment of Large Language Models (LLMs) across critical industries necessitates rigorous security and robust factual integrity. This research project addresses a crucial and emerging vulnerability: Fact...
Red Hat has for many years participated in and supported the Mass Open Cloud Alliance (MOC-A). With the rising importance of AI, the MOC-A now provides Red Hat and our partners/collaborators a platform to improve open source AI products, increase mindshare for open...
The SEMLA project seeks to make the development of software systems more resilient, secure, and cost-effective. SEMLA leverages recent advancements in machine learning (ML) and artificial intelligence (AI) to automate critical yet common & time-consuming tasks in...
The overall goal of DRIVE is to conduct world-leading research and education within the field of data-driven latency-sensitive mobile services for future mobile networks, as well as contributing to sustainable digitalisation of society. The project DRIVE (Data-driven...
ChRIS (ChRIS Research Integration Service) is an infrastructure that initially started as an open source research project at the Boston Children’s Hospital (BCH) Fetal-Neonatal Neuroimaging and Developmental Science Center to allow clinicians better access to the...
