Jianxiong Xiao's guest appearances

Jianxiong Xiao

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Shift: A podcast about mobility

The Autonomous Vehicles Podcast

John Xin

Tom Jellicoe

Michael DeKort

Dennis Mortensen

Rob Walker

Sanmi Koyejo

Chelsea Finn

Dario Amodei

Kate Darling

Jason Holmberg

Lotte Bransen

Christopher Berner

David Spiegelhalter

Kristen Grauman

Stephen Merity

OwlTail

Better known as ‘Professor X,’ the founder and chief executive officer of self-driving startup AutoX provides insight on the company’s recent deployment of 100 test vehicles in Shanghai and China’s broader efforts to lead in transportation technology.

Jianxiong Xiao Says ‘X’ Marks Success In China (Episode 50)

Today’s guest is Jianxiong Xiao, Founder and CEO at AutoX. Professor X holds a PhD in Computer Science from MIT and was the founding director of the Princeton Computer Vision and Robotics Lab. In this episode we discuss how the AV landscape in the Chinese market differs from Silicon Valley, the pros and cons of different AV business models, and the technological complexity of creating fully hardware/software integrated vehicles for commercial use.

<p>Today’s guest is Jianxiong Xiao, Founder and CEO at AutoX. Professor X holds a PhD in Computer Science from MIT and was the founding director of the Princeton Computer Vision and Robotics Lab. In this episode we discuss how the AV landscape in the Chinese market differs from Silicon Valley, the pros and cons of different AV business models, and the technological complexity of creating fully hardware/software integrated vehicles for commercial use.</p>

AutoX - Jianxiong Xiao

We are back with our second show this week, episode 2 of our Autonomous Vehicles Series. This time around we are joined by Jianxiong Xiao of AutoX, a company building computer vision centric solutions for autonomous vehicles. Jianxiong, a PhD graduate of MIT’s CSAIL Lab, joins me to discuss the different layers of the autonomous vehicle stack and the models for machine perception currently used in self-driving cars. If you’re new to the autonomous vehicles space I’m confident you’ll learn a ton, and even if you know the space in general, you’ll get a glimpse into why Jianxiong thinks AutoX’s direct perception approach is superior to end-to-end processing or mediated perception. The notes for this show can be found at twimlai.com/talk/58 For Series info, visit twimlai.com/av2017

We are back with our second show this week, episode 2 of our Autonomous Vehicles Series. This time around we are joined by Jianxiong Xiao of AutoX, a company building computer vision centric solutions for autonomous vehicles. Jianxiong, a PhD graduate of MIT’s CSAIL Lab, joins me to discuss the different layers of the autonomous vehicle stack and the models for machine perception currently used in self-driving cars. If you’re new to the autonomous vehicles space I’m confident you’ll learn a ton, and even if you know the space in general, you’ll get a glimpse into why Jianxiong thinks AutoX’s direct perception approach is superior to end-to-end processing or mediated perception. The notes for this show can be found at <a href="http://twimlai.com/talk/58" rel="nofollow" target="_blank">twimlai.com/talk/58</a> For Series info, visit <a href="http://twimlai.com/av2017" rel="nofollow" target="_blank">twimlai.com/av2017</a>

Perception Models for Self-Driving Cars with Jianxiong Xiao - TWiML Talk #58