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This talk will discuss how human traits, such as kinematics, language, and cognition, reveal themselves in RF data and how they can be exploited to design physics-based AI/ML approaches that offer imp...
This presentation highlights advances in mm-wave radar technology for in-cabin automotive applications, including life presence detection, child presence classification, and seat belt reminders. It ex...
Electromagnetic simulation has emerged as a valuable tool for generating synthetic data for human sensing radar AI/ML training. However, there are challenges associated with its use, this workshop wil...
In this talk, we present a physical AI foundation model that can fuse real-time radar data with other sensor modalities and natural language for contextual understanding of human activity. Context is ...
Wi-Fi sensing technology has emerged as a promising solution for passive human sensing and environmental monitoring. However, existing approaches often rely on specialized hardware or manual feature e...
Data movement has become a key bottleneck to meet the rapidly escalating performance demands of AI/HPC systems. Integrating silicon photonic (SiPh) transceivers in the ASIC package can address this ch...
This introductory talk sets the foundations for the workshop. It shows the original LMBA topology with its analytical solution, allowing the audience to familiarize themselves with the concept, the no...
The orthogonal and re-injection LMBA both attempt to reduce the impact of the CSP generation, leading to very effective electronic tuning of the PA for frequency-agile operation. The two variations ar...
In sequential load-modulated balanced power amplifiers (S-LMBA), an over-driven class-B amplifier is used as the carrier amplifier while the balanced PA pair is biased in class-C mode to serve as the ...
The conventional LMBA theory is derived based on the Z-matrix of quadrature coupler. However, it neither rigorously explains the wideband nature of LMBA nor fully unleashes its design space with a sys...