We develop Transformer-based ML method for blood pressure prediction from ultrasound signals.

We develop a quantum machine learning framework on the pulse level.

We develop a robust circuit design framework that involves the variation information in the optimization process.

We develop a deep learning framework for robust RF-based vital signs sensing.

We present a 12b 25MS/s 11.3fJ/conv.-step secure random-mapping SAR ADC with power and EM side-channel attack resilience.

This paper provides an overview of efficient deep learning methods, systems and applications.