Events

ABSTRACT: Modern science increasingly relies on complex workflows that span AI, simulation, data analysis, cloud, edge, and HPC systems. Yet creating and managing these workflows remains difficult and time-consuming. This talk introduces the Pegasus Workflow Management System, which automates large-scale scientific workflows…

ABSTRACT: It has long been a research topic in the social sciences to examine whether technology bridges or reinforces existing social gaps. With the emergence of generative AI based on LLMs, there is growing optimism that people with lower skill levels may benefit the most from these technologies. However, the ways in which…

ABSTRACT: Applications of generative modeling and deep learning in physics-based systems have traditionally focused on building emulators - computationally inexpensive approximations of input-to-output maps. However, the remarkable flexibility of data-driven architectures opens opportunities to broaden their scope to include…

ABSTRACT: Large Language Models are increasingly deployed in applications that require reasoning over long and complex context, such as extended documents, multi-turn interactions, retrieved evidence, and multimodal inputs. While these capabilities make LLMs more powerful, they also introduce new and underexplored safety risks.…