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Found 3 papers, 1 papers with code
ComputeGPT: A computational chat model for numerical problems
ComputeGPT converts each question to relevant code, runs the code, and returns the computed answer as part of the chat.
Learning Contact-based Navigation in Crowds
This paradigm poses two problems: 1) freezing while navigating a crowd may cause people to trip and fall over the robot, resulting in more harm than the collision itself, and 2) in very dense social environments where collisions are unavoidable, such a control scheme would render the robot unable to move and preclude the opportunity to study how humans incorporate robots into these environments.
Urban precipitation downscaling using deep learning: a smart city application over Austin, Texas, USA
We show the development of a high-resolution gridded precipitation product (300 m) from a coarse (10 km) satellite-based product (JAXA GsMAP).
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