Description
Prof. Koji HASHIMOTO (Kyoto Univ, Japan)
Dr. Sergio ANDREOZZI (EGI Foundation, The Netherlands)
Abstract
Machine learning and physics have long been deeply intertwined, and there have been eras when their relationship came to the forefront. Even in today’s revolutionary AI development, physics has played a significant role—for example, in diffusion models. From a physics standpoint as well, an integrative perspective across various specialized domains is provided by innovative new...
Abstract:
Artificial intelligence is transforming the practice of science. From protein structure prediction to climate modelling and high-energy physics, AI techniques are accelerating discovery, enabling researchers to extract insights from datasets of unprecedented scale and complexity. At the same time, the infrastructure demand of AI-driven research (large-scale GPU computing, access to...
