Inside Electronics

SensorGPT Shortens the Edge AI Training Cycle

31 min · 12 de may de 2026
portada del episodio SensorGPT Shortens the Edge AI Training Cycle

Descripción

The emergence of "Physical AI" requires a bridge between digital logic and the chaotic variables of the analog world. TDK's SensorGPT [https://www.tdk.com/en/news_center/press/20260505_01.html] serves as this bridge by creating a feedback loop: synthetic data trains the initial model, and the limited real-world data subsequently gathered is used to refine the generative parameters.  Hear more about SensorGPT applications, capabilities and about its limitations and availability as Electronic Design Technology Editor Andy Turudic [https://www.electronicdesign.com/home/contact/21127497/andy-turudic] has a discussion with Abbas Ataya, Sr. Director of AI Systems & Software at TDK USA, in this edition of the Inside Electronics podcast [https://www.electronicdesign.com/podcasts/inside-electronics].

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The emergence of "Physical AI" requires a bridge between digital logic and the chaotic variables of the analog world. TDK's SensorGPT [https://www.tdk.com/en/news_center/press/20260505_01.html] serves as this bridge by creating a feedback loop: synthetic data trains the initial model, and the limited real-world data subsequently gathered is used to refine the generative parameters.  Hear more about SensorGPT applications, capabilities and about its limitations and availability as Electronic Design Technology Editor Andy Turudic [https://www.electronicdesign.com/home/contact/21127497/andy-turudic] has a discussion with Abbas Ataya, Sr. Director of AI Systems & Software at TDK USA, in this edition of the Inside Electronics podcast [https://www.electronicdesign.com/podcasts/inside-electronics].

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