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research into brain-inspired computing models that mimic the natural neural system's computational physics. Our research entails the development of novel brain-inspired computing theories, learning systems
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the central nervous system, requires adaptive computing systems that are not only able to receive biologically encoded inputs but also to process these locally. Due to the intrinsic ionic-electronic coupling
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, this requires the development of novel deep-learning methods that can process Imaging radar data on resource-constrained devices, and perform standard automotive perception tasks, such as object detection and
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improving the process of conceiving, developing, and launching new products and businesses, and also managing these products and businesses post-launch. More information about the group can be found at: http