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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.

Mar 28, 2019

This interview features my conversation with Alfredo Luque, a software engineer on the machine infrastructure team at Airbnb.

If you’re among the many TWiML fans interested in AI Platforms and ML infrastructure, you probably remember my interview with Airbnb’s Atul Kale, in which we discussed their Bighead...

Mar 27, 2019

Today we’re joined by Elena Nieddu, PhD Student at Roma Tre University, who presented on her project “In Codice Ratio” at the TF Dev Summit.

In our conversation, Elena provides an overview of the project, which aims to annotate and transcribe Vatican secret archive documents via machine learning. We discuss the...

Mar 25, 2019

Today we're joined by Paige Bailey, a TensorFlow developer advocate at Google to discuss the TensorFlow 2.0 alpha release.

Paige and I sat down to talk through the latest TensorFlow updates, and we cover a lot of ground, including the evolution of the TensorFlow APIs and the role of eager mode, tf.keras and tf.function,...

Mar 21, 2019

Today we’re joined by Andrew Trask, PhD student at the University of Oxford and Leader of the OpenMined Project.

OpenMined is an open-source community focused on researching, developing, and promoting tools for secure, privacy-preserving, value-aligned artificial intelligence. Andrew and I caught up back at NeurIPS to...

Mar 18, 2019

Today we’re joined by Jos Van Der Westhuizen, PhD student in Engineering at Cambridge University.

Jos’ research focuses on applying LSTMs, or Long Short-Term Memory neural networks, to biological data for various tasks. In our conversation, we discuss his paper The unreasonable effectiveness of the forget gate, in...