On the morning of November 25th at 10:30, the school invited Associate Researcher Wang Qi from the School of Science at the University of National Defense Technology to give an academic presentation titled Thoughts and Practice on Large Scale Generative Simulation Artificial Intelligence.
Abstract:
Recent advancements have broken a new focus on generating artistic intelligence (GenAI), which paints promising paths to explore the creation of texts, images, videos, or other content, compared to simply performing discriminative learning tasks GenAI's emergency, e.g., the large model, has changed the landscape of deep learning research, influenced individuals' work and life, holding trends potential to reshape robotics research, national governance, and life sciences This talk nominates large scale generative simulation artificial intelligence (LS GenAI) as the next hotspot for GenAI to connect We will share some thoughts and recent practice on enablement LS GenAI Specifically, the identifiable simulation systems or scenarios need to be generated with a few observations, and the decision making modules can have fast adaptation utility in time sensitive scenarios, e.g., autonomous driving or decision making in defense The primary goals of LS GenAI are to assist in meaningful experimental design and enable fast adaptation of learned skills Achieving these will ultimately enrich the utilities of GenAI in a wider range of real world scenarios
Reported by:
Wang Qi, Associate Researcher at the School of Science, National University of Defense Technology, is engaged in research on stochastic optimization and intelligent games. He received his PhD from Professor Max Welling and Dr. Herke van Hoof, and has long served as a reviewer for top AI conferences. He was invited to organize the NeuroIPS EcoRL2021 Workshop. Published multiple articles as the first author in ICML, NeuroIPS, and ICLR, covering conditional generative models, meta reinforcement learning, robust optimization, and approximate inference algorithms, and won the Outstanding Doctoral Dissertation Award for Multi Agent Systems in China in 2023. At present, he has presided over three national, provincial and ministerial scientific research projects, focusing on the research framework of generative simulation intelligence, and was invited to give academic reports in well-known research institutions such as the Institute of Mathematics and Systems of the Chinese Academy of Sciences, the Institute of Theoretical Physics of the Chinese Academy of Sciences, Tsinghua University, Nankai University, Shandong University, etc.
