The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

By Sam Charrington

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.

  1. 1.
    Delivering Neural Speech Services at Scale with Li Jiang - #522
    49:01
  2. 2.
    AI’s Legal and Ethical Implications with Sandra Wachter - #521
    47:57
  3. 3.
    Compositional ML and the Future of Software Development with Dillon Erb - #520
    40:58
  4. 4.
    Generating SQL Database Queries from Natural Language with Yanshuai Cao - #519
    36:58
  5. 5.
    Social Commonsense Reasoning with Yejin Choi - #518
    50:52
  6. 6.
    Deep Reinforcement Learning for Game Testing at EA with Konrad Tollmar - #517
    38:51
  7. 7.
    Exploring AI 2041 with Kai-Fu Lee - #516
    45:42
  8. 8.
    Advancing Robotic Brains and Bodies with Daniela Rus - #515
    44:55
  1. 9.
    Neural Synthesis of Binaural Speech From Mono Audio with Alexander Richard - #514
    45:20
  2. 10.
    Using Brain Imaging to Improve Neural Networks with Alona Fyshe - #513
    36:44
  3. 11.
    Adaptivity in Machine Learning with Samory Kpotufe - #512
    49:18
  4. 12.
    A Social Scientist’s Perspective on AI with Eric Rice - #511
    43:06
  5. 13.
    Applications of Variational Autoencoders and Bayesian Optimization with José Miguel Hernández Lobato - #510
    41:57
  6. 14.
    Codex, OpenAI’s Automated Code Generation API with Greg Brockman - #509
    45:47
  7. 15.
    Spatiotemporal Data Analysis with Rose Yu - #508
    33:21
  8. 16.
    Parallelism and Acceleration for Large Language Models with Bryan Catanzaro - #507
    48:33
  9. 17.
    Applying the Causal Roadmap to Optimal Dynamic Treatment Rules with Lina Montoya - #506
    54:39
  10. 18.
    Constraint Active Search for Human-in-the-Loop Optimization with Gustavo Malkomes - #505
    48:08
  11. 19.
    Fairness and Robustness in Federated Learning with Virginia Smith -#504
    36:21
  12. 20.
    Scaling AI at H&M Group with Errol Koolmeister - #503
    40:47
  13. 21.
    Evolving AI Systems Gracefully with Stefano Soatto - #502
    48:02
  14. 22.
    ML Innovation in Healthcare with Suchi Saria - #501
    44:22
  15. 23.
    Cross-Device AI Acceleration, Compilation & Execution with Jeff Gehlhaar - #500
    39:54
  16. 24.
    The Future of Human-Machine Interaction with Dan Bohus and Siddhartha Sen - #499
    46:44
  17. 25.
    Vector Quantization for NN Compression with Julieta Martinez - #498
    39:18
  18. 26.
    Deep Unsupervised Learning for Climate Informatics with Claire Monteleoni - #497
    40:14
  19. 27.
    Skip-Convolutions for Efficient Video Processing with Amir Habibian - #496
    45:59
  20. 28.
    Advancing NLP with Project Debater w/ Noam Slonim - #495
    49:45
  21. 29.
    Bringing AI Up to Speed with Autonomous Racing w/ Madhur Behl - #494
    51:35
  22. 30.
    AI and Society: Past, Present and Future with Eric Horvitz - #493
    52:27
  23. 31.
    Agile Applied AI Research with Parvez Ahammad - #492
    41:51
  24. 32.
    Haptic Intelligence with Katherine J. Kuchenbecker - #491
    37:16
  25. 33.
    Data Science on AWS with Chris Fregly and Antje Barth - #490
    39:17
  26. 34.
    Accelerating Distributed AI Applications at Qualcomm with Ziad Asghar - #489
    38:06
  27. 35.
    Buy AND Build for Production Machine Learning with Nir Bar-Lev - #488
    41:24
  28. 36.
    Applied AI Research at AWS with Alex Smola - #487
    53:55
  29. 37.
    Causal Models in Practice at Lyft with Sean Taylor - #486
    39:26
  30. 38.
    Using AI to Map the Human Immune System w/ Jabran Zahid - #485
    39:54
  31. 39.
    Learning Long-Time Dependencies with RNNs w/ Konstantin Rusch - #484
    35:43
  32. 40.
    What the Human Brain Can Tell Us About NLP Models with Allyson Ettinger - #483
    36:00
  33. 41.
    Probabilistic Numeric CNNs with Roberto Bondesan - #482
    39:28
  34. 42.
    Building a Unified NLP Framework at LinkedIn with Huiji Gao - #481
    32:43
  35. 43.
    Dask + Data Science Careers with Jacqueline Nolis - #480
    34:18
  36. 44.
    Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479
    36:10
  37. 45.
    AI Storytelling Systems with Mark Riedl - #478
    40:48
  38. 46.
    Creating Robust Language Representations with Jamie Macbeth - #477
    39:23
  39. 47.
    Reinforcement Learning for Industrial AI with Pieter Abbeel - #476
    57:38
  40. 48.
    AutoML for Natural Language Processing with Abhishek Thakur - #475
    35:36
  41. 49.
    Inclusive Design for Seeing AI with Saqib Shaikh - #474
    34:56
  42. 50.
    Theory of Computation with Jelani Nelson - #473
    32:58

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