New Podcast Episode: Audio Signal Processing in the Era of AI
The latest episode explores novel algorithms and their impact on audio processing.
Read moreAI for THz UM-MIMO: From Model-Driven Deep Learning to Foundation Models
Physics Makes Black-box Deep Learning Models Transparent
Electromagnetic inverse scattering problems (ISPs) are crucial in noninvasive imaging but challenging due to nonlinearity and computational costs. This blog explores machine learning-based ISP solvers with physics-guided loss functions, emphasizing the role of near-field priors and multiple-scattering effects. Numerical experiments highlight the advantages and limitations of these approaches.
