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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. —
    Jason Corso

    Zero-Shot Auto-Labeling: The End of Annotation for Computer Vision with Jason Corso - #735 · Jun 2025

    0 votes
  2. —
    Jason Holmberg

    Computer Vision and Intelligent Agents for Wildlife Conservation with Jason Holmberg - TWiML Talk #166 · Jul 2018

    0 votes
  3. —
    0 votes
  4. —
    Jay Emery

    Building LLM-Based Applications with Azure OpenAI with Jay Emery - #657 · Nov 2023

    0 votes
  5. —
    Jay Newby

    Biological Particle Identification and Tracking with Jay Newby - TWiML Talk #179 · Sep 2018

    0 votes
  6. —
    Jeff Boudier

    Open Source Generative AI at Hugging Face with Jeff Boudier - #624 · Apr 2023

    0 votes
  7. —
    Jeff Gehlhaar

    Multi-Device, Multi-Use-Case Optimization with Jeff Gehlhaar - #587 · 4 episodes

    0 votes
  8. —
    Jelani Nelson

    Theory of Computation with Jelani Nelson - #473 · Apr 2021

    0 votes
  9. —
    Jennifer Glore

    Scaling BERT and GPT for Financial Services with Jennifer Glore - #561 · Feb 2022

    0 votes
  10. —
    Jennifer Hobbs

    Fine-Grained Player Prediction in Sports with Jennifer Hobbs - TWiML Talk #157 · Jun 2018

    0 votes
  11. —
    Jennifer Prendki

    Agile Machine Learning with Jennifer Prendki - TWiML Talk #46 · Sep 2017

    0 votes
  12. —
    Jesse Engel

    Expressive Deep Learning with Magenta DDSP w/ Jesse Engel - #452 · Feb 2021

    0 votes
  13. —
    Jianxiong Xiao

    Perception Models for Self-Driving Cars with Jianxiong Xiao - TWiML Talk #58 · Oct 2017

    0 votes
  14. —
    Jianxu Chen

    Cell Exploration with ML at the Allen Institute w/ Jianxu Chen - #383 · Jun 2020

    0 votes
  15. —
    Jilei Hou

    Stable Diffusion and LLMs at the Edge with Jilei Hou - #633 · Jun 2023

    0 votes
  16. —
    Jim Saleh

    Data Platforms for Decision Automation at Scotiabank with Jim Saleh - TWiML Talk #152 · Jun 2018

    0 votes
  17. —
    Jinho Choi

    Language Parsing and Character Mining with Jinho Choi - TWiML Talk #206 · Dec 2018

    0 votes
  18. —
    Joan Bruna

    Geometric Deep Learning with Joan Bruna & Michael Bronstein - TWiML Talk #90 · Dec 2017

    0 votes
  19. —
    Joe Connor

    AI Innovation for Clinical Decision Support with Joe Connor - TWiML Talk #169 · Aug 2018

    0 votes
  20. —
    Joel Hestness

    Powering AI with the World's Largest Computer Chip with Joel Hestness - #684 · May 2024

    0 votes
  21. —
    Johann Brehmer

    Weakly Supervised Causal Representation Learning with Johann Brehmer - #605 · Dec 2022

    0 votes
  22. —
    Johannes Eichstaedt

    What NLP Tells Us About COVID-19 and Mental Health with Johannes Eichstaedt - #400 · Aug 2020

    0 votes
  23. —
    John Bohannon

    Multimodal, Multi-Lingual NLP at Hugging Face with John Bohannon and Douwe Kiela - #589 · 3 episodes

    0 votes
  24. —
    Jon Wang

    Fighting Global Health Disparities with AI w/ Jon Wang - #426 · Nov 2020

    0 votes
  25. —
    Jonas Geiping

    Scaling Up Test-Time Compute with Latent Reasoning with Jonas Geiping - #723 · 2 episodes

    0 votes
  26. —
    Jonas Schneider

    Robotics at OpenAI with Jonas Schneider - TWiML Talk #76 · Dec 2017

    0 votes
  27. —
    Jonathan Hung

    Scaling TensorFlow at LinkedIn with Jonathan Hung - #314 · Nov 2019

    0 votes
  28. —
    Jonathan Le Roux

    Solving the Cocktail Party Problem with Machine Learning, w/ ‪Jonathan Le Roux - #555 · Jan 2022

    0 votes
  29. —
    Jonathan Mugan

    Symbolic and Sub-Symbolic Natural Language Processing with Jonathan Mugan - TWiML Talk #49 · Sep 2017

    0 votes
  30. —
    Jos Van Der Westhuizen

    The Unreasonable Effectiveness of the Forget Gate with Jos Van Der Westhuizen - TWiML Talk #240 · Mar 2019

    0 votes
  31. —
    Jose Hernandez-Orallo

    Kinds of Intelligence w/ Jose Hernandez-Orallo - TWiML Talk #137 · May 2018

    0 votes
  32. —
    Joseph Gonzalez

    Rethinking Model Size: Train Large, Then Compress with Joseph Gonzalez - #378 · May 2020

    0 votes
  33. —
    Joseph Soriaga

    Deep Learning is Eating 5G. Here’s How, w/ Joseph Soriaga - #525 · Oct 2021

    0 votes
  34. —
    Josh Bloom

    Marrying Physics-Based and Data-Driven ML Models with Josh Bloom - TWiML Talk #42 · Aug 2017

    0 votes
  35. —
    Josh Tobin

    How OpenAI Builds AI Agents That Think and Act with Josh Tobin - #730 · 2 episodes

    0 votes
  36. —
    Joshua Bloom

    Joshua Bloom - Machine Learning for the Stars & Productizing AI - TWiML Talk #5 · Sep 2016

    0 votes
  37. —
    José Miguel Hernández Lobato

    Applications of Variational Autoencoders and Bayesian Optimization with José Miguel Hernández Lobato - #510 · Aug 2021

    0 votes
  38. —
    Judy Gichoya

    Phronesis of AI in Radiology with Judy Gichoya - TWIML Talk #275 · Jun 2019

    0 votes
  39. —
    Julian Quiroga

    Deep Learning for Automatic Basketball Video Production with Julian Quiroga - #389 · Jul 2020

    0 votes
  40. —
    Julianna Ianni

    Multi-task Learning for Melanoma Detection with Julianna Ianni - #531 · Oct 2021

    0 votes

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