300 episodes

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, deep learning, computer science, data science and more.

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

    • Technology

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, deep learning, computer science, data science and more.

    Social Intelligence with Blaise Aguera y Arcas - #340

    Social Intelligence with Blaise Aguera y Arcas - #340

    Today we’re joined by Blaise Aguera y Arcas, a distinguished scientist at Google. We had the pleasure of catching up with Blaise at NeurIPS last month, where he was invited to speak on “Social Intelligence.” In our conversation, we discuss his role at Google, and his team’s approach to machine learning, and of course his presentation, in which he touches discussing today’s ML landscape, the gap between AI and ML/DS, the difference between intelligent systems and true intelligence, and much more.

    • 46 min
    Music & AI Plus a Geometric Perspective on Reinforcement Learning with Pablo Samuel Castro - #339

    Music & AI Plus a Geometric Perspective on Reinforcement Learning with Pablo Samuel Castro - #339

    Today we’re joined by Pablo Samuel Castro, Staff Research Software Developer at Google. We cover a lot of ground in our conversation, including his love for music, and how that has guided his work on the Lyric AI project, and a few of his papers including “A Geometric Perspective on Optimal Representations for Reinforcement Learning” and “Estimating Policy Functions in Payments Systems using Deep Reinforcement Learning.”

    • 43 min
    Trends in Computer Vision with Amir Zamir - #338

    Trends in Computer Vision with Amir Zamir - #338

    Today we close out AI Rewind 2019 joined by Amir Zamir, who recently began his tenure as an Assistant Professor of Computer Science at the Swiss Federal Institute of Technology. Amir joined us back in 2018 to discuss his CVPR Best Paper winner, and in today’s conversation, we continue with the thread of Computer Vision. In our conversation, we discuss quite a few topics, including Vision-for-Robotics, the expansion of the field of 3D Vision, Self-Supervised Learning for CV Tasks, and much more!

    • 1 hr 30 min
    Trends in Natural Language Processing with Nasrin Mostafazadeh - #337

    Trends in Natural Language Processing with Nasrin Mostafazadeh - #337

    Today we continue the AI Rewind 2019 joined by friend-of-the-show Nasrin Mostafazadeh, Senior AI Research Scientist at Elemental Cognition. We caught up with Nasrin to discuss the latest and greatest developments and trends in Natural Language Processing, including Interpretability, Ethics, and Bias in NLP, how large pre-trained models have transformed NLP research, and top tools and frameworks in the space.

    • 1 hr 12 min
    Trends in Fairness and AI Ethics with Timnit Gebru - #336

    Trends in Fairness and AI Ethics with Timnit Gebru - #336

    Today we keep the 2019 AI Rewind series rolling with friend-of-the-show Timnit Gebru, a research scientist on the Ethical AI team at Google. A few weeks ago at NeurIPS, Timnit joined us to discuss the ethics and fairness landscape in 2019. In our conversation, we discuss diversification of NeurIPS, with groups like Black in AI, WiML and others taking huge steps forward, trends in the fairness community, quite a few papers, and much more.

    • 49 min
    Trends in Reinforcement Learning with Chelsea Finn - #335

    Trends in Reinforcement Learning with Chelsea Finn - #335

    Today we continue to review the year that was 2019 via our AI Rewind series, and do so with friend of the show Chelsea Finn, Assistant Professor in the CS Department at Stanford University. Chelsea’s research focuses on Reinforcement Learning, so we couldn’t think of a better person to join us to discuss the topic. In this conversation, we cover topics like Model-based RL, solving hard exploration problems, along with RL libraries and environments that Chelsea thought moved the needle last year.

    • 1 hr 6 min

Customer Reviews

MakingUseOfCommute ,

Best technical podcast

TWiML & AI is the best technical podcast I’ve ever listened to. Sam Charrington really tries to guide guests on the show into providing as much useful information for listeners as possible and follows up with great questions if he thinks a topic could benefit from more elaboration. I really appreciate this style. If you’re interested in learning about the latest developments in ML & AI then this is the podcast you want.

gkennos ,

Wonderful interviewer

Sam Charrington is a fabulous interviewer - the number of times you hear his guests say how he has asked a question of true insight that gets to the heart of the matter at hand is astonishing across such a wide variety of topics!

Barryosis ,

Great balance between technical and industry perspectives

Really interesting guests, really well interviewed. Keep it up!

Top Podcasts In Technology

Listeners Also Subscribed To