On-Demand

Vision‑based Artificial Intelligence (Vision AI), HMI and IoT present immense business opportunities. All of these market segments require high‑performance recognition and real‑time response to differentiate their solutions.

Join this webinar to discover how to benefit from the latest RZ high‑performance MPUs providing superior processing performance, multi‑OS solutions from LINUX and RTOS, and a scalable development platform including evaluation boards and software packages to embark on your development journey.

In this webinar, you will learn:

  • To easily develop power‑efficient Vision AI applications using RZ/V Series MPUs equipped with Renesas' proprietary DRP‑AI accelerator
  • To smoothly create HMI and IoT applications using RZ/G2 Group MPUs with integrated HMI functions all in one chip, and provide high security
  • To scale the development between AI and HMI solutions with the SMARC SOM evaluation platform

Presented by:

Dean Smith
Director of FAE
Renesas Electronics

Dean Smith is Director of FAE for Renesas' regional market in the Americas. His 30+ years of experience in various Field Applications Engineering roles, including working with numerous technologies, gives him a broad understanding of customer applications and use case needs. Dean holds a B.S. in Electrical Engineering from Rochester Institute of Technology

Manny Singh
Principal Product Marketing Manager
Renesas Electronics

Manny Singh is Principal Product Marketing Manager for Renesas’ Vision AI MPU product line. Manny's 18+ years of experience includes IC design, applications engineering, product definition, product incubation in the CTO office, product line & business unit management, marketing and BizDev, and strategy & planning. He has issued 12 patents and multiple publications. His expertise includes mixed signal design, power management, SOC, low‑power MCUs, and MPUs.

TJ Mueller
Sr. Staff Product Marketing Manager
Renesas Electronics

TJ Mueller is Product Marketing and Business Development Manager for Renesas' RZ/G 64‑bit MPU product line. His 30+ years of deep semiconductor experience provides customers and ecosystem partners an excellent resource when developing next‑generation platforms. TJ holds a B.S. in Electrical Engineering from Stanford University.

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