753 Épisodes

  1. Quantum Machine Learning: The Next Frontier? with Iordanis Kerenidis - #397

    Publié: 04/08/2020

  2. ML and Epidemiology with Elaine Nsoesie - #396

    Publié: 30/07/2020

  3. Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems with Hal Daumé III - #395

    Publié: 27/07/2020

  4. Graph ML Research at Twitter with Michael Bronstein - #394

    Publié: 23/07/2020

  5. Panel: The Great ML Language (Un)Debate! - #393

    Publié: 20/07/2020

  6. What the Data Tells Us About COVID-19 with Eric Topol - #392

    Publié: 16/07/2020

  7. The Case for Hardware-ML Model Co-design with Diana Marculescu - #391

    Publié: 13/07/2020

  8. Computer Vision for Remote AR with Flora Tasse - #390

    Publié: 09/07/2020

  9. Deep Learning for Automatic Basketball Video Production with Julian Quiroga - #389

    Publié: 06/07/2020

  10. How External Auditing is Changing the Facial Recognition Landscape with Deb Raji - #388

    Publié: 02/07/2020

  11. AI for High-Stakes Decision Making with Hima Lakkaraju - #387

    Publié: 29/06/2020

  12. Invariance, Geometry and Deep Neural Networks with Pavan Turaga - #386

    Publié: 25/06/2020

  13. Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi - #385

    Publié: 22/06/2020

  14. Machine Learning Commerce at Square with Marsal Gavalda - #384

    Publié: 18/06/2020

  15. Cell Exploration with ML at the Allen Institute w/ Jianxu Chen - #383

    Publié: 15/06/2020

  16. Neural Arithmetic Units & Experiences as an Independent ML Researcher with Andreas Madsen - #382

    Publié: 11/06/2020

  17. 2020: A Critical Inflection Point for Responsible AI with Rumman Chowdhury - #381

    Publié: 08/06/2020

  18. Panel: Advancing Your Data Science Career During the Pandemic - #380

    Publié: 04/06/2020

  19. On George Floyd, Empathy, and the Road Ahead

    Publié: 02/06/2020

  20. Engineering a Less Artificial Intelligence with Andreas Tolias - #379

    Publié: 28/05/2020

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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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