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Gauge Equivariant CNNs, Generative Models, and the Future of AI with Max Welling - TWiML Talk #267
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
English - May 20, 2019 19:58 - 1 hour - ★★★★★ - 323 ratingsTechnology News Tech News machinelearning artificialintelligence datascience samcharrington tech technology thetwimlaipocast thisweekinmachinelearning twiml twimlaipodcast Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Today we’re joined by Max Welling, research chair in machine learning at the University of Amsterdam, and VP of Technologies at Qualcomm, to discuss:
• Max’s 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.
• Max’s thoughts on the future of the AI industry, in particular, the relative importance of models, data and com