AI researcher Jason Toy has published a database called SenseNet consisting of 3D models of objects and tactile simulators designed to help researchers train AI systems to respond to tactile feedback. Many major applications of AI focus on machine vision, and as a result there are a wealth of training datasets of images available to researchers, but few similar resources are available to researchers developing systems that can interpret tactile feedback.
Teaching AI the Sense of Touch
Joshua New is a senior policy analyst at the Center for Data Innovation. He has a background in government affairs, policy, and communication. Prior to joining the Center for Data Innovation, Joshua graduated from American University with degrees in C.L.E.G. (Communication, Legal Institutions, Economics, and Government) and Public Communication. His research focuses on methods of promoting innovative and emerging technologies as a means of improving the economy and quality of life. Follow Joshua on Twitter @Josh_A_New.
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