The Division comprises five research pillars — Theory & Algorithms, AI Models, Embodied Intelligence, AI Systems, and AI Safety - spanning the full technology stack from mathematical foundations and model architectures to physical-world interaction, systems engineering, and safety assurance.

The AI + Science and Technology Division focuses on frontier fields such as life sciences, materials science, scientific computing, energy science, quantum science, brain science, and aerospace,leveraging AI to empower scientific research and industrial innovation. Driven by a dual engine of industry leadership and industry enablement, the division not only addresses real-world challenges in existing industrial scenarios but also aims to define and shape the future landscape of industry.

AI applications in the social sciences and industries, including education, finance, governance, and AI Ethics.