Hardware Podcasts

AI and Connectivity at the Edge and Endpoint

EE Times Current · 19 Oct 2023 · 29m

What this episode covers

Kaushal Vora and Mo Dogar from Renesas discuss the convergence of AI and IoT (AIoT) at the edge, distinguishing between resource-intensive generative AI and predictive AI suited for constrained endpoint devices. They highlight Renesas' acquisition of Reality AI and its AutoML toolchain, which allows embedded engineers to optimize machine learning models for microcontrollers without adding hardware sensors, as demonstrated in washer and battery management use cases. The guests explain how decentralizing intelligence reduces latency, power consumption, and security risks by performing inference locally on devices like the RH850 microcontroller.

Most relevant to

large enterprises

Topics

Mentioned

Companies
Renesas, Reality AI
Products
Alexa
Chips
RH850
Tools
e2 Studio, MATLAB

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