Tradeshows & Conferences
Xilinx Adapt: Automotive – Drive to the Future
This is from Xilinx Event: Yole Developpement: Analyst’s View of AI in Automotive
As AI techniques continue to evolve, the market dynamics, trends, and revenue opportunity also continue to take shape. Tune into Tom’s session as he delves into the market landscape in AI, the demands for AI across automotive platforms, and how the parallel processing capability within the Xilinx platform is well-suited for AI acceleration.
Xilinx sets up the three-day online event “Xilinx Adapt: Automotive – Drive to the future”.
Three half days of about 3 hours are planned to present you the technological innovations of automobiles to make them safer, more secure and practical.
Here is the schedule:
- Day 1: AI in Automotive
See how Xilinx adaptive platforms accelerate AI algorithms, and join us for a customer success story presented by Daimler. - Day 2: Automotive Architectures in ADAS and AD
Tune in for unique insight on integrated domain controller architectures and Xilinx solutions to the many challenges facing automotive system designers. - Day 3: Driver and In-Cabin Monitoring Systems
Learn how Xilinx and its partners’ solutions enable you to evolve and future-proof your Driver Monitoring Systems (DMS) and In-Cabin Monitoring Systems (ICMS) as regulations change to keep pace with new driver distraction and occupant behavior tracking.
Yole Développement will be present, represented by its anaylst Tom Hackenberg during the first day of this online event. Register now for valuable insights into the future of automotive technology.
Speaker:
Tom Hackenberg is a Principal Analyst for Computing and Software in the Semiconductor, Memory and Computing Division at Yole Développement (Yole). Tom is engaged in developing processor market monitors and research into related technology trends. He is currently focused on low and ultralow power. Tom is an industry leading expert with more than a decade’s experience reporting on markets for semiconductor processors. Tom is also well-versed in related technology trends including IoT, heterogeneous processing, chiplets, AI and edge computing.
Tom holds a BSECE from the University of Texas at Austin.
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