AI research is moving at unprecedented speed, with advances in large language models, multimodal systems, world models, and agent architectures reshaping what’s possible. Yet key challenges remain unsolved: reasoning reliability, robustness under distributional shift, interpretability, and efficiency at scale. This panel convenes leading AI research heads from industry and academia to reflect on the current state of the field, the breakthroughs that are shaping near-term industry adoption, and the fundamental questions that remain open. Panelists will discuss how cutting-edge research is guiding enterprise applications, where academia and industry must collaborate more deeply, and what innovations might define the next wave—from scalable alignment methods to architectures beyond transformers. Attendees will gain an insider’s perspective on how today’s research frontiers are steering the future of AI in both science and industry.
