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in a more efficient and automated way. For example, the development of a digital twin for water management in a city requires heterogeneous sources of data (e.g., water quality, energy, cost
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will be investigated and developed through custom photonic IC and electronic IC design. The resulting receiver architectures and circuits will be fabricated through MPWs and assembled in functional sub
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on factors such as input complexity, desired accuracy, or remaining battery capacity. This approach, compared to traditional architectures with fixed inference paths, proves to be more efficient in terms
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, models and sub-models need to communicate with each other in a more efficient and automated way. For example, the development of a digital twin for water management in a city requires heterogeneous sources
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next generation Wi-Fi needs to support distributed and coordinated AP architectures, whereby multiple APs can simultaneously serve a single user with coherent beamforming. In short, we want to advance