2 papers
cs.RO2025
Perspective on Utilizing Foundation Models for Laboratory Automation in Materials Research
Kan Hatakeyama-Sato, Toshihiko Nishida, Kenta Kitamura +4
This review explores the potential of foundation models to advance laboratory automation in the materials and chemical sciences. It emphasizes the dual roles of these models: cogni…
cs.HC2025
Assessing Human Intelligence Augmentation Strategies Using Brain Machine Interfaces and Brain Organoids in the Era of AI Advancement
Kenta Kitamura
The rapid advancement of Artificial Intelligence (AI) technologies, including the potential emergence of Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI…