---
title: Webinar Is it time for vision transformers to take over edge AI?
description: Discover the potential of vision transformers in edge AI. Join our webinar to learn about designing efficient models and deploying them on hardware. Sign up now!
---

# Webinar

# * **Is it time for vision transformers to take over edge AI?***

 

Date: Thursday December 7th

Time: 10:00 - 11:30 (GMT+1)

Since the seminal papers from Yann Le Cun, CNNs (convolutional neural networks) have been the workhorse behind deep learning based computer vision. They were responsible for the breakthroughs reaching better-than-human performance on fundamental computer vision tasks. Recently however, transformers have emerged as a powerful and flexible model. It first achieved breakthroughs in NLP but is now used in most cutting edge computer vision research. However, there still remain challenges in deploying them efficiently on resource constrained devices. In this webinar we discuss the state-of-the-art on how to design efficient vision transformer models, and how to deploy them on hardware. We conclude with some general observations on when it makes sense to use vision transformers today, and comment on future trends.

###### Presented By:

Devdatt Dubhashi

#### Devdatt Dubhashi

Co-founder and Chief Scientist at EmbeDL AB, Professor Data Science and AI, Chalmers University

[LinkedIn ](https://www.linkedin.com/in/devdatt-dubhashi-aa239624/)

Wilhelm Tranheden

#### Wilhelm Tranheden

Deep Learning Researcher

[LinkedIn ](https://www.linkedin.com/in/wilhelmtranheden/)

Sign up!