AI Computing for Automotive: Powering Autonomy – Webcast Video

How technologies from smartphones help realize the dream of autonomous driving?

Watch the replay of our webcast recorded on April 30, 2020 now:

Level 2, level 2+, level 2 ++… where are we heading? Will we ever see level 3? It seems that trying to segment the automobile industry by autonomy level is not only a difficult exercise, but one with questionable relevancy. After all, isn’t this just another example of a logical, temporal evolution of technological improvement like we have seen with every other new technology – and thus not ideal for a “level-by-level”, incremental approach? Wouldn’t an ideal segmentation just consider everyone’s car as either “standard” or “ADAS”, and mobility as a service from another based on robotic cars?

To answer to these questions, Yole Développement (Yole) has focused on sensor challenges first, and then on the associated computing required for new features/improvements. Lastly, we have tried to organize these topics in cases. During this webcast, Yohann Tschudi, Market and Technology Analyst in Computing and Software at Yole, will explain the evolution of computing and how it has been notably impacted by the arrival of AI (or more precisely, deep learning), and what we expect to happen. For example, AI’s impact is characterized by the entry of technologies from the smartphone industry, such as the neural engine and the accelerator, which indicates a desire to increase performance without increasing consumption. Does this mean that we will need a new type of computing, and new architectures?

Finally, where is the finish line for this race? What technologies and players are involved? And perhaps most importantly, who can win?

For Stéphane Cordova, Vice President, Embedded Technology Business Unit at Kalray, the Automotive industry is currently facing two major challenges: a need for performance and a need to consolidate the electronic functions in the car:

  • Growing need of performance for autonomy for car perception and path planning for example
  • A way to discontinue the past 20-year way to add functions: add yet another ECU (Electronic Component Unit) for yet-another function

He will also focus on performance and aggregation of heterogenous functions, ensuring mandatory and high levels of security and safety are the keys for upcoming autonomous vehicle production.

Do not miss this webcast to get a deep anlysis on the AI computing for automotive!


As a Software & Market Analyst, Dr. Yohann Tschudi is a member of the Semiconductor & Software Division at Yole Développement (Yole). Yohann is daily working with Yole’s analysts to identify, understand and analyze the role of the software parts within any semiconductor products, from the machine code to the highest level of algorithms. Market segments especially analyzed by Yohann include big data analysis algorithms, deep/machine learning, genetic algorithms, all coming from Artificial Intelligence (IA) technologies.

After his thesis at CERN (Geneva, Switzerland) in particle physics, Yohann developed a dedicated software for fluid mechanics and thermodynamics applications. Afterwards, he served during 2 years at the University of Miami (FL, United-States) as a research scientist in the radiation oncology department. He was involved in cancer auto-detection and characterization projects using AI methods based on images from Magnetic Resonance Imaging (MRI). During his research career, Yohann has authored and co-authored more than 10 relevant papers.

Yohann has a PhD in High Energy Physics and a master degree in Physical Sciences from Claude Bernard University (Lyon, France).

Stephane Cordova kalray

Stéphane Cordova, Vice President, Embedded Technology Business Unit

Stéphane is a successful executive with a combined 20 years of experience in business (Sales, Marketing, business development and business unit management) in the semiconductor industry around wireless, video and embedded applications. Prior to his current position, Stéphane has held various business and management roles at STMicroelectronics and ST-Ericsson, where he worked in business development with major OEMs and platform-makers for mobile applications and the multimedia industry.

Related reports:

Ai for Automotive 2020

Artificial Intelligence Computing for Automotive 2020
Artificial Intelligence paves the way to full autonomy.


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