Browsing by Subject "Research Subject Categories::TECHNOLOGY"
Now showing items 1-2 of 2
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IMEC: A Memory-Efficient Convolution Algorithm For Quantised Neural Network Accelerators
(IEEE, 2022)Quantised convolution neural networks (QCNNs) on FPGAs have shown tremendous potential for deploying deep learning on resource constrained devices closer to the data source or in embedded applications. An essential building ... -
Multi-agent reinforcement learning for safe lane changes by connected and autonomous vehicles: A survey
(AI Communications, 2023)Connected Autonomous vehicles (CAVs) are expected to improve the safety and efficiency of traffic by automating driving tasks. Amongst those, lane changing is particularly challenging, as it requires the vehicle to be aware ...