Benjamin Kane is an Applied Research Scientist specializing in neuro-symbolic artificial intelligence, focusing on systems that merge deep learning with logical reasoning. Currently, Benjamin is working on innovative AI applications that prioritize accuracy, predictability, and explainability. Previously, Benjamin earned a PhD in Computer Science from the University of Rochester, where they developed a general-purpose dialogue management framework for virtual conversational agents and contributed to various applications, including SOPHIE and DAVID. Benjamin has also interned with the U.S. Army DEVCOM Army Research Laboratory and Openstream.AI, where they enhanced cognitive robotic architectures and designed dialogue flows for chatbots.
This person is not in the org chart
This person is not in any teams
This person is not in any offices