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Sensors are becoming the backbone of today’s intelligent electronic systems — enabling everything from wearable health monitoring and industrial automation to smarter consumer and IoT devices. But as sensing technologies become more advanced, developers are also facing growing challenges around AI training, data collection, and system integration at the edge.
For this podcast episode, we speak with Abbas Ataya, senior director of software and systems at TDK U.S.A. Corporation. He will share some information on the company’s new SensorGPT platform, which is helping accelerate the development of next-generation AI-powered sensing applications.
Guest Bio
Abbas Ataya is Senior Director of AI, Systems, and Software at TDK USA Corporation, driving the vision and development of next-generation intelligent platforms powered by advanced sensing, Edge AI and computing, and scalable systems. With 14 years of experience, a PhD in Machine Learning, multiple patents, and several awards, he brings a rare ability to bridge deep technical expertise with real-world impact: from resource-constrained edge devices to large-scale connected systems.
By EP&T MagazineSensors are becoming the backbone of today’s intelligent electronic systems — enabling everything from wearable health monitoring and industrial automation to smarter consumer and IoT devices. But as sensing technologies become more advanced, developers are also facing growing challenges around AI training, data collection, and system integration at the edge.
For this podcast episode, we speak with Abbas Ataya, senior director of software and systems at TDK U.S.A. Corporation. He will share some information on the company’s new SensorGPT platform, which is helping accelerate the development of next-generation AI-powered sensing applications.
Guest Bio
Abbas Ataya is Senior Director of AI, Systems, and Software at TDK USA Corporation, driving the vision and development of next-generation intelligent platforms powered by advanced sensing, Edge AI and computing, and scalable systems. With 14 years of experience, a PhD in Machine Learning, multiple patents, and several awards, he brings a rare ability to bridge deep technical expertise with real-world impact: from resource-constrained edge devices to large-scale connected systems.