The TWIML AI Podcast cover art

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. —
    Julie Kallini

    Dynamic Token Merging for Efficient Byte-level Language Models with Julie Kallini - #724 · Mar 2025

    0 votes
  2. —
    Julie Shah

    Models for Human-Robot Collaboration with Julie Shah - #538 · Nov 2021

    0 votes
  3. —
    Julieta Martinez

    Vector Quantization for NN Compression with Julieta Martinez - #498 · Jul 2021

    0 votes
  4. —
    Jure Leskovec

    Relational Foundation Models for Enterprise Data with Jure Leskovec - #768 · May 2026

    0 votes
  5. —
    Justin Norman

    Federated ML for Edge Applications with Justin Norman - TWiML Talk #185 · Sep 2018

    0 votes
  6. —
    Justin Spelhaug

    AI for Humanitarian Action with Justin Spelhaug - TWiML Talk #226 · Feb 2019

    0 votes
  7. —
    Kalai Ramea

    Time Series Clustering for Monitoring Fueling Infrastructure Performance with Kalai Ramea - #300 · Sep 2019

    0 votes
  8. —
    Kamran Khan

    How AI Predicted the Coronavirus Outbreak with Kamran Khan - #350 · Feb 2020

    0 votes
  9. —
    Kamyar Azizzadenesheli

    AI Trends 2024: Reinforcement Learning in the Age of LLMs with Kamyar Azizzadenesheli - #670 · 3 episodes

    0 votes
  10. —
    Kanaka Rajan

    Modeling Human Cognition with RNNs and Curriculum Learning, w/ Kanaka Rajan - #524 · Oct 2021

    0 votes
  11. —
    Karianne Bergen

    Machine Learning for Earthquake Seismology with Karianne Bergen - #554 · Jan 2022

    0 votes
  12. —
    Karim Beguir

    Automating Electronic Circuit Design with Deep RL w/ Karim Beguir - #365 · 2 episodes

    0 votes
  13. —
    Kate Saenko

    More Language, Less Labeling with Kate Saenko - #580 · Jun 2022

    0 votes
  14. —
    Katherine J. Kuchenbecker

    Haptic Intelligence with Katherine J. Kuchenbecker - #491 · Jun 2021

    0 votes
  15. —
    Kathryn Hume

    Operationalizing Ethical AI with Kathryn Hume - TWiML Talk #210 · 2 episodes

    0 votes
  16. —
    Katie Driggs-Campbell

    Modeling Human Drivers for Autonomous Vehicles with Katie Driggs-Campbell - TWiML Talk #59 · Oct 2017

    0 votes
  17. —
    Kavita Bala

    Understanding Cultural Style Trends with Computer Vision w/ Kavita Bala - #410 · Sep 2020

    0 votes
  18. —
    Kelley Rivoire

    Scaling Model Training with Kubernetes at Stripe with Kelley Rivoire - TWIML Talk #272 · Jun 2019

    0 votes
  19. —
    Kelly Hong

    Generative Benchmarking with Kelly Hong - #728 · Apr 2025

    0 votes
  20. —
    Kenneth Conroy

    Building Conversational Application for Financial Services with Kenneth Conroy - TWiML Talk #61 · Nov 2017

    0 votes
  21. —
    0 votes
  22. —
    Kevin Tran

    Active Learning for Materials Design with Kevin Tran - TWiML Talk #238 · Mar 2019

    0 votes
  23. —
    Kim Branson

    Machine Learning at GSK with Kim Branson - #536 · Nov 2021

    0 votes
  24. —
    Kiran Vajapey

    Collecting and Annotating Data for AI with Kiran Vajapey - TWiML Talk #130 · Apr 2018

    0 votes
  25. —
    Kirk Borne

    Towards the Self-Driving Enterprise with Kirk Borne - TWiML Talk #151 · Jun 2018

    0 votes
  26. —
    Kirk Marple

    GraphRAG: Knowledge Graphs for AI Applications with Kirk Marple - #681 · Apr 2024

    0 votes
  27. —
    Konrad Tollmar

    Deep Reinforcement Learning for Game Testing at EA with Konrad Tollmar - #517 · Sep 2021

    0 votes
  28. —
    Konstantin Rusch

    Learning Long-Time Dependencies with RNNs w/ Konstantin Rusch - #484 · May 2021

    0 votes
  29. —
    Kristen Grauman

    Embodied Visual Learning with Kristen Grauman - TWiML Talk #85 · Dec 2017

    0 votes
  30. —
    Ksenia Konyushkova

    Learning Active Learning with Ksenia Konyushkova - TWiML Talk #116 · Mar 2018

    0 votes
  31. —
    Kumar Chellapilla

    Geospatial Machine Learning at AWS with Kumar Chellapilla - #607 · Dec 2022

    0 votes
  32. —
    Kunle Olukotun

    Dataflow Computing for AI Inference with Kunle Olukotun - #751 · 2 episodes

    0 votes
  33. —
    Kwindla Kramer

    Building Voice AI Agents That Don’t Suck with Kwindla Kramer - #739 · Jul 2025

    0 votes
  34. —
    Kyle Roche

    Patterns and Middleware for LLM Applications with Kyle Roche - #659 · Dec 2023

    0 votes
  35. —
    Kyle Story

    ML for Understanding Satellite Imagery at Scale with Kyle Story - TWiML Talk #173 · Aug 2018

    0 votes
  36. —
    Larry Matthies

    Vision Systems for Planetary Landers and Drones with Larry Matthies - TWiML Talk #171 · Aug 2018

    0 votes
  37. —
    Laura Leal-Taixé

    Dynamic Visual Localization and Segmentation with Laura Leal-Taixé -TWiML Talk #168 · Jul 2018

    0 votes
  38. —
    Laurence Watson

    Tracking CO2 Emissions with Machine Learning with Laurence Watson - TWIML Talk #277 · Jun 2019

    0 votes
  39. —
    Laurent Boinot

    AI for Power & Energy with Laurent Boinot - #683 · May 2024

    0 votes
  40. —
    Leemay Nassery

    Resurrecting a Recommendations Platform at Comcast with Leemay Nassery - TWiML Talk #201 · Nov 2018

    0 votes

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