Embedded AI can be the perfect ingredient to your embedded product—if you implement it properly. Working with TinyML and infusing just the right locally executed voice recognition with Natural Language Processing (NLP), face recognition for machine access and security, and Real-Time Analytics (RTA), the customer value goes through the roof. Using RTA to create predictive algorithms that show current or eminent system failures are just the start. As we incorporate more and more of this technology at the endpoint, Physical AI becomes the goal – creating systems that use AI to enhance what is being done in the physical world.
Join Renesas in this webinar to see how their technologies all play together, and the state of the art of Renesas Embedded AI technology.
This session is part of the Renesas Webinar Series. Registration/event page here.
Director of AI Core technology Product Marketing & Strategy (AI CTD) at Renesas Electronics
Suad Jusuf is a Director of AI Core technology Product Marketing & Strategy (AI CTD) at Renesas Electronics, leading strategy and market direction across the company’s global AI, embedded, and edge computing portfolio. He drives...
Omar Shrit is a Staff Engineer in Product Marketing within the AI Core Technology (AT CTD) division at Renesas Electronics. He is responsible for driving the development and positioning of AI solutions tailored for Renesas’s edge computing...