Practical AI

A podcast by Practical AI LLC

Categories:

310 Episodes

  1. AI for Good: clean water access in Africa

    Published: 11/05/2020
  2. Ask us anything (about AI)

    Published: 4/05/2020
  3. Reinforcement learning for chip design

    Published: 27/04/2020
  4. Exploring the COVID-19 Open Research Dataset

    Published: 20/04/2020
  5. Achieving provably beneficial, human-compatible AI

    Published: 13/04/2020
  6. COVID-19 Q&A and CORD-19

    Published: 6/04/2020
  7. Mapping the intersection of AI and GIS

    Published: 30/03/2020
  8. Welcome to Practical AI

    Published: 25/03/2020
  9. Speech recognition to say it just right

    Published: 23/03/2020
  10. Building a career in Data Science

    Published: 16/03/2020
  11. What exactly is "data science" these days?

    Published: 9/03/2020
  12. TensorFlow in the cloud

    Published: 2/03/2020
  13. NLP for the world's 7000+ languages

    Published: 24/02/2020
  14. Real-time conversational insights from Signal AI's NLP

    Published: 17/02/2020
  15. AI-powered scientific exploration and discovery

    Published: 10/02/2020
  16. Insights from the AI Index 2019 Annual Report

    Published: 3/02/2020
  17. Testing ML systems

    Published: 27/01/2020
  18. AI-driven automation in manufacturing

    Published: 20/01/2020
  19. How the U.S. military thinks about AI

    Published: 13/01/2020
  20. 2019's AI top 5

    Published: 6/01/2020

12 / 16

Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!

Visit the podcast's native language site