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Artificial Neural Microcircuits as Building Blocks: Concept and Challenges
Artificial Neural Networks (ANNs) are one of the most widely employed forms of bio-inspired computation.
Multi-objective Evolutionary Approach for Efficient Kernel Size and Shape for CNN
Therefore, this paper considers optimising the computational resource consumption by reducing the size and number of kernels in convolutional layers.
Multi-objective Optimisation of Digital Circuits based on Cell Mapping in an Industrial EDA Flow
Modern electronic design automation (EDA) tools can handle the complexity of state-of-the-art electronic systems by decomposing them into smaller blocks or cells, introducing different levels of abstraction and staged design flows.
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