Why we do need Artificial Intelligence at the end point? What are the main challenges to have embedded Artificial Intelligence (e-AI) implemented? Extremely efficient, high computational power is required (computational power vs. power consumption).
This webinar discusses how Renesas enables endpoint intelligence by providing efficient, flexible, and scalable RZ MPU products for e-AI applications.
Stefano Tansini is responsible for RZ MPUs EMEA operations (Business Development & Application Engineering). He belongs to Renesas Electronics IOT & Industrial Business Unit and has over 25 years of experience in the semiconductor field as Project Manager and Business Development Manager for ASIC, MPUs & Memory product segments. In recent years, Artificial Intelligence applications are one of his main application focuses.