Podcasts Technology The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Gauge Equivariant CNNs, Generative Models, and the Future of AI with Max Welling - TWiML Talk #267

Gauge Equivariant CNNs, Generative Models, and the Future of AI with Max Welling - TWiML Talk #267

Published: May 20, 2019, 7:58 p.m.

b'Today we\\u2019re joined by Max Welling, research chair in machine learning at the University of Amsterdam, and VP of Technologies at Qualcomm, to discuss:\\xa0\\n\\n\\u2022 Max\\u2019s research at Qualcomm AI Research and the University of Amsterdam, including his work on Bayesian deep learning, Graph CNNs and Gauge Equivariant CNNs, power efficiency for AI via compression, quantization, and compilation.\\n\\n\\u2022 Max\\u2019s thoughts on the future of the AI industry, in particular, the relative importance of models, data and com'