SensorGPT Shortens the Edge AI Training Cycle

About this episode

This episode discusses how TDK's SensorGPT bridges digital logic and the analog world in Edge AI training.

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.

People in this episode

Host: Andy Turudic

Guest: Abbas Ataya

Topics covered

• Edge AI
• Physical AI
• Synthetic data
• Generative parameters
• AI Systems

Keywords

• SensorGPT
• Edge AI
• Physical AI
• synthetic data
• AI training

Mentioned in this episode

Organizations: TDK, TDK USA

Products: SensorGPT

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