The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Tensor Operations for Machine Learning with Anima Anandkumar - TWiML Talk #142

Deep Learning for Live-Cell Imaging with David Van Valen - TWiML Talk #141

Checking in with the Master w/ Garry Kasparov - TWiML Talk #140

Exploring AI-Generated Music with Taryn Southern - TWiML Talk #139

Practical Deep Learning with Rachel Thomas - TWiML Talk #138

Kinds of Intelligence w/ Jose Hernandez-Orallo - TWiML Talk #137

Taming arXiv with Natural Language Processing w/ John Bohannon - TWiML Talk #136

Epsilon Software for Private Machine Learning with Chang Liu - TWiML Talk #135

Scalable Differential Privacy for Deep Learning with Nicolas Papernot - TWiML Talk #134

Differential Privacy at Bluecore with Zahi Karam - TWiML Talk #133

Differential Privacy Theory & Practice with Aaron Roth - TWiML Talk #132

Optimal Transport and Machine Learning with Marco Cuturi - TWiML Talk #131

Collecting and Annotating Data for AI with Kiran Vajapey - TWiML Talk #130

Autonomous Aerial Guidance, Navigation and Control Systems with Christopher Lum - TWiML Talk #129

Infrastructure for Autonomous Vehicles with Missy Cummings - TWiML Talk #128

Hyper-Personalizing the Customer Experience w/ AI with Rob Walker - TWiML Talk #127

Information Extraction from Natural Document Formats with David Rosenberg - TWiML Talk #126

Human-in-the-Loop AI for Emergency Response & More w/ Robert Munro - TWiML Talk #125

Systems and Software for Machine Learning at Scale with Jeff Dean - TWiML Talk #124

Jeff Dean, a senior Google engineer, traces the evolution of machine learning infrastructure from early distributed systems like MapReduce to the development of deep learning frameworks such as Disbelief and TensorFlow. The conversation highlights the transition from CPU-based training to specialized hardware accelerat...

Semantic Segmentation of 3D Point Clouds with Lyne Tchapmi - TWiML Talk #123