Aug 27 · 2 min read

Posted by Edd Wilder-James, program co-chair, TensorFlow World & Jason Zaman, Ignite chair, TensorFlow World

We’re looking forward to meeting many members of the TensorFlow community at this year’s TensorFlow World event, being held from 28–31 October 2019 in Santa Clara, CA, USA.

The response to our initial call for participation was overwhelming, and we are delighted with the many companies, researchers and contributors who are represented in the speaking schedule. With so much to share about TensorFlow and its ecosystem, we wanted to announce two more ways that you can present your ideas at TensorFlow World, poster sessions and Ignite talks.

Invited speakers to poster sessions or Ignite will receive a conference Bronze pass. We hope to see you there!

Poster Sessions

Poster sessions provide an opportunity for you to present your work and discuss it one-on-one with other conference participants in a friendly setting. Poster proposals are reviewed by the conference program review panel, providing a complementary venue to the regular talks track. We’re holding the poster session early in the conference so you’ll have a chance to follow up later on with attendees who may share interests with you.

Submit your poster proposal by Thursday, September 26th.

Ignite at TensorFlow World

Ignite is a fast and fun lightning talk format: 5 minute presentations are limited to 20 slides, which auto-advance every 15 seconds. This is a chance to enlighten and inspire the audience, as long as you’re quick! Any topic is welcome, as long as it’s interesting, but of course, feel free to make it relate to TensorFlow. Present a how-to, something inspirational, lessons learned, or predict the future.

Submit your Ignite talk proposal by Monday, September 30th.

Ignite talks will take place on Tuesday 29 October, just before the poster sessions start. Join us for a fun evening of enlightenment and new ideas!


TensorFlow is an end-to-end open source platform for machine learning.


Written by

TensorFlow is a fast, flexible, and scalable open-source machine learning library for research and production.


TensorFlow is an end-to-end open source platform for machine learning.

Welcome to a place where words matter. On Medium, smart voices and original ideas take center stage - with no ads in sight. Watch
Follow all the topics you care about, and we’ll deliver the best stories for you to your homepage and inbox. Explore
Get unlimited access to the best stories on Medium — and support writers while you’re at it. Just $5/month. Upgrade