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that develops advanced AI compute solutions involving AI models, algorithms, implementations, sensors and hardware for small scale edge up to large scale distributed and hybrid hardware architectures
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toolchains Familiarity with distributed training/inference, AI system bottlenecks, and performance tuning Prior experience with cloud computing and AI system deployment in production settings
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. The courses you will teach may include bachelor-level courses, such as Computer Networks, Distributed Systems, Computer and Network Security, Operating Systems, and master-level courses, such as Topics in
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distribution, spectrum management and coexistence, tactile Internet, and autonomous transportation. Furthermore, our activities are experimentally driven and supported by the SDR CommLab, the SDN Lab, the 6G