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Project

Adaptive hardware for conditional neural networks with emerging technologies

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.

Date:23 Sep 2019 →  23 Sep 2023
Keywords:Neural Networks, Integrated systems, Integrated circuits
Disciplines:Digital integrated circuits, Memory components, Pattern recognition and neural networks, Computer hardware not elsewhere classified, Semiconductor devices, nanoelectronics and technology
Project type:PhD project