Abstract: Circuit representation learning aims to obtain neural repre-sentations of circuit elements and has emerged as a promising research direction that can be applied to various EDA and logic ...
Abstract: This tutorial brief shows how Artificial Neural Networks (ANNs) can be used for the optimization and automated design of analog and mixed-signal circuits. A survey of conventional and ...
Despite exceptional capabilities in knowledge-intensive tasks, Large Language Models (LLMs) face a critical gap in understanding how they internalize new knowledge, particularly how to structurally ...
Connecticut’s quantum sector is having a moment, thanks in part to a Yale startup that has long been viewed as a key element in promoting a flourishing tech ecosystem in New Haven that generates jobs, ...
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