lunduniversity.lu.se

AI Lund

An open network for research, education and innovation in the area of Artificial Intelligence at Lund University

Denna sida på svenska This page in English

AI Lund Events

AI Lund lunch seminar: In-memory computing to solve AI’s energy consumption bottle-neck

Seminarium

From: 2021-05-05 12:00 to 13:15
Place: Online - link by registration
Contact: Jonas [dot] Wisbrant [at] cs [dot] lth [dot] se
Save event to your calendar


Ferroelectric memristors for ultra-low power neuromorphic computing.

Title: In-memory computing to solve AI’s energy consumption bottle-neck

When: 5 May at 12.00-13.15

Speaker: Mattias Borg, Dept. of Electrical and Information Technology, LTH , Lund University

Abstract

The bottle-neck for continued development of Machine Learning lies in the escalating energy consumption during model training. Ultimately, this will require new hardware that implements non-von Neumann architectures, enabling computing-in-memory and even online unsupervised learning by brain-inspired methods.

Memristors based on ferroelectric memory elements are a promising route to such hardware. Here I will introduce memristor-based computing-in-memory, it's benefits in terms of energy-efficiency and our research on the ferroelectric devices that can make it reality.

Registration

Please register at: https://ai.lu.se/events/registration-2021-05-05 in order to get an access link to the zoom platform.