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. —
    Aditi Raghunathan

    Is It Time to Rethink LLM Pre-Training? with Aditi Raghunathan - #747 · Sep 2025

    0 votes
  2. —
    Aditya Kalro

    Facebook's FBLearner Platform with Aditya Kalro - TWiML Talk #197 · Nov 2018

    0 votes
  3. —
    Adji Bousso Dieng

    Designing Better Sequence Models with RNNs with Adji Bousso Dieng - TWiML Talk #160 · Jul 2018

    0 votes
  4. —
    Adriana Kovashka

    Robust Visual Reasoning with Adriana Kovashka - #463 · Mar 2021

    0 votes
  5. —
    Adrien Gaidon

    Principle-centric AI with Adrien Gaidon - #575 · 2 episodes

    0 votes
  6. —
    Ahmed Elgammal

    Creative Adversarial Networks for Art Generation with Ahmed Elgammal - TWiML Talk #265 · May 2019

    0 votes
  7. —
    Ahsan Ashraf

    Diversification in Recommender Systems with Ahsan Ashraf - TWiML Talk #187 · Oct 2018

    0 votes
  8. —
    Akshat Kaul

    House Hunters: Machine Learning at Redfin with Akshat Kaul - #530 · Oct 2021

    0 votes
  9. —
    Akshita Bhagia

    OLMo: Everything You Need to Train an Open Source LLM with Akshita Bhagia - #674 · Mar 2024

    0 votes
  10. —
    Alekh Agarwal

    Interactive Machine Learning Systems with Alekh Agarwal - TWiML Talk #17 · Mar 2017

    0 votes
  11. —
    Aleksander Madry

    Adversarial Examples Are Not Bugs, They Are Features with Aleksander Madry - #369 · Apr 2020

    0 votes
  12. —
    Alex Bowcut

    Is RAG Dead? Lessons from Building AI for Tax Law with Alex Bowcut - #769 · Jun 2026

    0 votes
  13. —
    Alex Hanna

    Pushing Back on AI Hype with Alex Hanna - #649 · Oct 2023

    0 votes
  14. —
    Alex Havrilla

    Teaching Large Language Models to Reason with Reinforcement Learning with Alex Havrilla - #680 · Apr 2024

    0 votes
  15. —
    Alex Ratner

    Snorkel: A System for Fast Training Data Creation with Alex Ratner - TWiML Talk #270 · May 2019

    0 votes
  16. —
    Alex Smola

    Applied AI Research at AWS with Alex Smola - #487 · May 2021

    0 votes
  17. —
    Alex Teichman

    Deep Learning for 3D Sensors and Cameras in Lighthouse with Alex Teichman - TWiML Talk #103 · Jan 2018

    0 votes
  18. —
    Alexander Chukovski

    Automating Complex Internal Processes w/ AI with Alexander Chukovski - TWiML Talk #161 · Jul 2018

    0 votes
  19. —
    Alexander Richard

    Neural Synthesis of Binaural Speech From Mono Audio with Alexander Richard - #514 · Aug 2021

    0 votes
  20. —
    Alexander Smola

    From Voice Agents to AI Avatars with Alexander Smola - #777 · Sep 2026

    0 votes
  21. —
    Alexandre Bayen

    The Future of Mixed-Autonomy Traffic with Alexandre Bayen - #303 · Sep 2019

    0 votes
  22. —
    Alexandre Pesant

    Vibe Coding's Uncanny Valley with Alexandre Pesant - #752 · Oct 2025

    0 votes
  23. —
    Alfredo Luque

    Supporting TensorFlow at Airbnb with Alfredo Luque - TWiML Talk #244 · Mar 2019

    0 votes
  24. —
    Ali Rodell

    Building Foundational ML Platforms with Kubernetes and Kubeflow with Ali Rodell - #595 · Oct 2022

    0 votes
  25. —
    Alice Xiang

    Privacy vs Fairness in Computer Vision with Alice Xiang - #637 · Jul 2023

    0 votes
  26. —
    Aljosa Osep

    On The Path Towards Robot Vision with Aljosa Osep - #581 · Jul 2022

    0 votes
  27. —
    Allison Parish

    Experimental Creative Writing with the Vectorized Word - Allison Parish - TWIML Talk #72 · Nov 2017

    0 votes
  28. —
    Allyson Ettinger

    What the Human Brain Can Tell Us About NLP Models with Allyson Ettinger - #483 · May 2021

    0 votes
  29. —
    Alona Fyshe

    Using Brain Imaging to Improve Neural Networks with Alona Fyshe - #513 · Aug 2021

    0 votes
  30. —
    Alpha Lee

    The Physics of Data with Alpha Lee - #377 · May 2020

    0 votes
  31. —
    Alvin Grissom II

    Pathologies of Neural Models and Interpretability with Alvin Grissom II - TWiML Talk #229 · Feb 2019

    0 votes
  32. —
    Amir Bar

    Decoding Animal Behavior to Train Robots with EgoPet with Amir Bar - #692 · Jul 2024

    0 votes
  33. —
    Amir Habibian

    Skip-Convolutions for Efficient Video Processing with Amir Habibian - #496 · Jun 2021

    0 votes
  34. —
    Amir Zamir

    Trends in Computer Vision with Amir Zamir - #338 · 2 episodes

    0 votes
  35. —
    Amoh Jr

    An Optimized Recurrent Unit for Ultra-Low Power Acoustic Event Detection with Justice Amoh Jr. - TWiML Talk #230 · Feb 2019

    0 votes
  36. —
    Andrea Banino

    Learning to Ponder: Memory in Deep Neural Networks with Andrea Banino - #528 · Oct 2021

    0 votes
  37. —
    Andreas Madsen

    Neural Arithmetic Units & Experiences as an Independent ML Researcher with Andreas Madsen - #382 · Jun 2020

    0 votes
  38. —
    Andreas Tolias

    Engineering a Less Artificial Intelligence with Andreas Tolias - #379 · May 2020

    0 votes
  39. —
    Andres Ravinet

    Accelerating Sustainability with AI with Andres Ravinet - #689 · Jun 2024

    0 votes
  40. —
    0 votes

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