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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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) are looking to hire a post-doctoral associate to carry out joint research in resilience of neural networks, including large language models (LLMs) and other generative AI systems and foundation models
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, particularly in the domain of Positioning, Navigation, and Timing (PNT). The research aims to generate and evaluate the quality of synthetic PNT data created using pre-trained foundation models (FMs) such as
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to the efficient simulation of natural and engineered systems. The position is based in Utica, NY. The successful candidate will have a doctoral degree in applied mathematics, physics, electrical engineering