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Delves into training and applications of Vision-Language-Action models, emphasizing large language models' role in robotic control and the transfer of web knowledge. Results from experiments and future research directions are highlighted.
Explores modeling, motivating, and creating platforms that leverage user wisdom and work power, examining user personas, distribution, and engagement dynamics.
Focuses on breaking interoperability barriers in AEC software through open-source connectors, showcasing the integration of BIM models within immersive 3D environments.
Explores learning from interconnected data with graphs, covering modern ML research goals, pioneering methods, interdisciplinary applications, and democratization of graph ML.
By the instructor Claire Kuang explores data abstractions in the AEC industry and the role of Speckle in connecting industry players through an open-source platform.
