Keyword spotting with phase-change memory matrix-vector multiplication accelerator

Docente

Daniele Ielmini (mail)

Area di ricerca

Intelligenza artificiale, robotica e computer vision

Keyword (max 3 separate da virgola)

deep learning, emerging memory, hardware acceleration

Termine per accettazione progetto

15/05/2023

Tecnologie da utilizzare

Python, Tensorflow, MATLAB

Descrizione (max 500 caratteri)

The goal of the project is to train and implement a convolutional neural network for keyword spotting on a custom integrated circuit, that features an embedded phase-change memory block for matrix-vector multiplication acceleration.
Scroll to Top