ABSTRACT:  Sequential decision-making in dynamic, uncertain, and adversarial environments is a fundamental challenge in many applications such as online resource allocation, planning, and scheduling. While modern AI and ML algorithms offer transformative potential, their lack of reliability guarantees and possible…

ABSTRACT:  The Dept of Energy (DOE) complex comprises of many science facilities that could be classified as data producing (eg. the Advanced Photon Source at Argonne National Laboratory) and consuming (eg. the Leadership Class Computing Facilities at the Oak Ridge National Laboratory) facilities. Modern science campaigns…

ABSTRACT:  This presentation focuses on extending the success of large language models (LLMs) to sequential decision making. Existing efforts either (i) re-train or finetune LLMs for decision making, or (ii) design prompts for pretrained LLMs. The former approach suffers from the computational burden of gradient updates, and…

ABSTRACT:  Rapid and accurate triage of acute ischemic stroke (AIS) is essential for early revascularization and improved patient outcomes. Response to acute reperfusion therapies varies significantly based on patient-specific cerebrovascular anatomy that governs cerebral blood flow. We present an end-to-end machine learning…

  ABSTRACT:  Recent years have seen tremendous iterations on autonomous driving technologies, pushing the deployment of self-driving cars closer to its realization. As the experimental deployments scale, more challenging and less frequent corner cases surface to stress-test the reliability of the autonomous driving…

This event is designed to enhance your skills in managing and analyzing large-scale data with hands-on sessions and a competitive project. Stand a chance to win exciting prizes! Lunch and refreshments will be provided on both days. Registration is required.

Please join us for the 2024-2025 seminar series, Charting the Landscape of Ethical AI. We are incredibly fortunate to have three scholars form across the globe presenting on different concerns of the development and application of various kinds of artificial intelligence, and challenging us to think beyond current discourse to…

The University of California (UC) System, in partnership with NNSA laboratories, is seeking proposals from UC researchers for collaborative projects that advance the frontiers of Artificial Intelligence and Machine Learning at scale. Our central goal is to develop scientific AI systems that benefit from computational scale while…

ABSTRACT:  Cities, humanity’s greatest inventions, offer vast opportunities for innovation in science and technology. The increasing availability of big data paints a promising future for our cities. Over the past decade, my work has focused on applying AI to address real-world city challenges. Recent collaborations with…

Robotics and AI for humans – empowerment through innovation The 2024 Southern California Robotics Symposium (SCR) was held at the University of California, Riverside, 9/19-9/20. This premier symposium gathered roboticists from academia and industry throughout Southern California for a series of interactive workshops, social…