Deep-Learning-Based Pixelated Microwave Filter Design and Characterization using Electro-Optical Electric-Field Measurements
The episode discusses 'Deep-Learning-Based Pixelated Microwave Filter Design and Characterization using Electro-Optical Electric-Field Measurements.' Hosts explain how AI uses deep convolutional neural networks to rapidly design microwave filters from binary layouts, achieving high efficiency. They also detail how electro-optical measurements validate the AI's designs by revealing internal electric field patterns.