Introduction of Neuromorphic Computing Using Non-Volatile Memory

Akiyo Nomura

Abstract

Neuromorphic computing using non-volatile memory (NVM) devices has the potential to enable extremely low power consumption, less than that of traditional von Neumann architecture. Low-power multiply-accumulate operations can be achieved using NVM crossbar arrays, where the conductance of an NVM device corresponds to a synaptic weight in a deep neural network (DNN) and spiking neural network (SNN). This talk covers the introduction of researches on neuromorphic computing using NVM devices.

Speaker

Photo of Akiyo Nomura

Akiyo Nomura is a researcher in the Neuromorphic Device group at IBM Research - Tokyo. Her research interests include Neuromorphic computing, spintronics, and circuit design. For more detail, please visit her webpage:
https://researcher.watson.ibm.com/researcher/view.php?person=jp-ainomura

Requested 1 time

Lecture languages

EnglishJapanese

Topics

AI / AutomationAI Hardware

Duration options

0.5 hour

Travel/delivery options

In-countryRemote via video conference

Country

Japan

Lecture booking request

Thank you for your interest in hosting an IBM speaker. Please fill out the following form with as much detail as possible. An IBM representative will reach out to discuss your booking request. All guest lectures are subject to availability and agreements under this collaboration are not legally binding.