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Sam Charrington
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, computer science, data science...
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Ratings & Reviews
4.7 stars from 578 ratings
Audio quality issues
Episode 570 has some significant audio issues. eg 10:08 etc … otherwise a great episode and a great channel!!
wiggy woggy via Apple Podcasts · Canada · 05/07/22
The guests are amazing and this could be such an amazing podcast for the ML community. Unfortunately, the host is both a poor conversationalist (interviews lack flow, feel disjointed and tortured), and comes to the interviews so poorly informed that he struggles to put follow up questions...Read full review »
steve5688547 via Apple Podcasts · United States of America · 01/08/22
A premier podcast on AI/ML
I have enjoyed listening to many of the episodes and had fun participating in one
fitelson via Apple Podcasts · United States of America · 12/23/21
Recent Episodes
Today we continue our ICML coverage joined by Melika Payvand, a research scientist at the Institute of Neuroinformatics at the University of Zurich and ETH Zurich. Melika spoke at the Hardware Aware Efficient Training (HAET) Workshop, delivering a keynote on Brain-inspired hardware and algorithm...
Published 08/01/22
Today we’re joined by Arash Behboodi, a machine learning researcher at Qualcomm Technologies. In our conversation with Arash, we explore his paper Equivariant Priors for Compressed Sensing with Unknown Orientation, which proposes using equivariant generative models as a prior means to show that...
Published 07/25/22
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