SensorGPT Shortens the Edge AI Training Cycle

The emergence of "Physical AI" requires a bridge between digital logic and the chaotic variables of the analog world. TDK's SensorGPT 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 has a discussion with Abbas Ataya, Sr. Director of AI Systems & Software at TDK USA, in this edition of the Inside Electronics podcast.