Hardware Modellering en Exploratie Voor Edge AI-versnelling

The work revolves around the investigation of architectures for integrated systems that enable training and inference of neural networks. Particular attention is reserved to the realization of hardware that adapts its performances (in terms of power, delay and resource usage) depending on the context of utilization. Emerging technologies and materials for memory/interconnections are studied as well with the aim of improving the performances of the integrated system architecture.