Episode Synopsis "7. Seeing Through Walls with Kevin Meng"

Brendon interviews Kevin Meng, a student ML researcher from Plano, Texas, about his research on using machine learning, specifically many-to-many recurrent models, to reconstruct a person's pose using RF data even when a wall or obstruction is present, taking advantage of time series data. Kevin also shares insights on presenting ML research to the public, and his plans for future research directions relating to natural language processing for media fact checking! Please send comments to .

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More episodes of the podcast Shattered Gradients

• 1. Hello World, and Vision for Autonomous Vehicles
• 2. Real-World Ethics in Deep Learning, with Jacky Zhao
• 3. David Holz on Building a Career in Silicon Valley and the Future of Deep Learning (Live at ISEF)
• 4. Deep Learning in Embedded Electronics for Short-Term Storm Forecasting with Max von Wolff
• 5. Generative-Adversarial Neural Networks and Voiceprint Systems with Zach Trefler
• 6. Genetic Algorithms with Filip Kučerak
• 7. Seeing Through Walls with Kevin Meng
• 8. Everything Under the Sun with Krithik Ramesh