The TWIML AI Podcast

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 and more.

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Every guest on The TWIML AI Podcast

677 guests, ranked by how many people never want them back.

1. —
   Shubho Sengupta

   Scaling Deep Learning: Systems Challenges & More with Shubho Sengupta — TWiML Talk #14 · Mar 2017

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2. —
   Sicelukwanda Zwane

   Safer Exploration in Deep Reinforcement Learning using Action Priors with Sicelukwanda Zwane - TWiML Talk #235 · Mar 2019

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3. —
   Siddha Ganju

   Trends in Computer Vision with Siddha Ganju - TWiML Talk #218 · 2 episodes

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4. —
   Siddhant Pardeshi

   Agent Swarms and Knowledge Graphs for Autonomous Software Development with Siddhant Pardeshi - #763 · Mar 2026

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5. —
   Siddhartha Sen
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6. —
   Siddhika Nevrekar

   Simplifying On-Device AI for Developers with Siddhika Nevrekar - #697 · Aug 2024

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7. —
   Simon Osindero

   Trends in Reinforcement Learning with Simon Osindero - TWiML Talk #217 · Jan 2019

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8. —
   Sinead Flahive

   AI for Athlete Optimization with Sinead Flahive - TWiML Talk #155 · Jun 2018

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9. —
   Siraj Raval

   Siraj Raval - How to Build Confidence as an ML Developer - TWiML Talk #2 · Aug 2016

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10. —
    Solmaz Shahalizadeh

    Fighting Fraud with Machine Learning at Shopify with Solmaz Shahalizadeh - TWiML Talk #60 · Oct 2017

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11. —
    Solon Barocas

    Legal and Policy Implications of Model Interpretability with Solon Barocas - TWiML Talk #219 · Jan 2019

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12. —
    Song Han

    Deep Gradient Compression for Distributed Training with Song Han - TWiML Talk #146 · May 2018

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13. —
    Sophia Sanborn

    Why Deep Networks and Brains Learn Similar Features with Sophia Sanborn - #644 · Aug 2023

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14. —
    Sriraam Natarajan

    Statistical Relational Artificial Intelligence with Sriraam Natarajan - TWiML Talk #113 · Feb 2018

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15. —
    Srivathsan Canchi

    ML Feature Store at Intuit with Srivathsan Canchi - #438 · Dec 2020

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16. —
    Stefan Lee

    Learning Visiolinguistic Representations with ViLBERT w/ Stefan Lee - #358 · Mar 2020

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17. —
    Stefano Soatto

    Evolving AI Systems Gracefully with Stefano Soatto - #502 · Jul 2021

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18. —
    Stephanie Kovalchik

    Love Love: AI and ML in Tennis with Stephanie Kovalchik - TWiML Talk #159 · Jun 2018

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19. —
    Stephen Merity

    Single Headed Attention RNN: Stop Thinking With Your Head with Stephen Merity - #325 · Dec 2019

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20. —
    Stephen Odaibo

    Retinal Image Generation for Disease Discovery with Stephen Odaibo - TWIML Talk #284 · Jul 2019

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21. —
    Stevie Chancellor

    Human-Centered ML for High-Risk Behaviors with Stevie Chancellor - #472 · Apr 2021

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22. —
    Stuart Feffer

    Machine Learning for Signal Processing Applications w/ Stuart Feffer & Brady Tsai - TWiML Talk #105 · Feb 2018

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23. —
    Stuart Reid

    ML/DL for Non-Stationary Time Series Analysis in Financial Markets and Beyond with Stuart Reid - TWiML Talk #203 · Nov 2018

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24. —
    Su-In Lee

    Explainable AI for Biology and Medicine with Su-In Lee - #642 · Aug 2023

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25. —
    Subarna Sinha

    Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436 · Dec 2020

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26. —
    Subutai Ahmad

    100x Improvements in Deep Learning Performance with Sparsity, w/ Subutai Ahmad - #562 · Mar 2022

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27. —
    Suchi Saria

    ML Innovation in Healthcare with Suchi Saria - #501 · Jul 2021

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28. —
    Sunil Mallya

    An Agentic Mixture of Experts for DevOps with Sunil Mallya - #708 · Nov 2024

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29. —
    Sushil Thomas

    Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas - #429 · Nov 2020

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30. —
    Suzana Ilić

    Exploring Causality and Community with Suzana Ilić - #419 · Oct 2020

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31. —
    Swami Sivasubramanian

    re:Invent Roundup 2020 with Swami Sivasubramanian - #437 · Dec 2020

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32. —
    Terrence Sejnowski

    Spiking Neural Networks: A Primer with Terrence Sejnowski - #317 · Nov 2019

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33. —
    Theofanis Karayannis

    Developing a brain atlas using deep learning with Theofanis Karayannis - TWIML Talk #287 · Aug 2019

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34. —
    Thierry Derungs

    Innovation Factories for AI in FInancial Services with Thierry Derungs - TWiML Talk #81 · Dec 2017

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35. —
    Thomas Dietterich

    AI Trends 2024: Machine Learning & Deep Learning with Thomas Dietterich - #666 · 2 episodes

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36. —
    Thorsten Joachims

    Unbiased Learning from Biased User Feedback with Thorsten Joachims - TWiML Talk #207 · Dec 2018

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37. —
    Tijmen Blankevoort

    Neural Network Quantization and Compression with Tijmen Blankevoort - TWIML Talk #292 · Aug 2019

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38. —
    Timothy Seabrook
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39. —
    Tom Goldstein

    Watermarking Large Language Models to Fight Plagiarism with Tom Goldstein - 621 · Mar 2023

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40. —
    Tom Szumowski

    Benchmarking Custom Computer Vision Services at Urban Outfitters with Tom Szumowski - TWiML Talk #247 · Apr 2019

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