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The TWIML AI Podcast with Sam Charrington · Technology

The TWIML AI Podcast with Sam Charrington

Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. By sharing and amplifying the voices of a broad and diverse spectrum of machine learning and AI researchers, practitioners, and innovators, we hope to help make ML and AI more accessible and enhance the lives of our audience and their communities. Through the podcast, we bring 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. The TWIML AI Podcast is hosted by Sam Charrington, a sought-after industry analyst, speaker, commentator, and thought leader. Sam’s research is focused on the business and consumer application of machine learning and AI, bringing AI-powered products to market, and AI-enabled and -enabling technology platforms

Episodes

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AI Storytelling Systems with Mark Riedl - #478

26 Apr 2021
46m
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Creating Robust Language Representations with Jamie Macbeth - #477

22 Apr 2021
48m
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Exploring the Intersection of Unsupervised Learning and Reinforcement Learning - Clips - #476

22 Apr 2021
17m
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Pre-trained Transformers as Universal Computation Engines - Clips - #476

21 Apr 2021
10m
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Reinforcement Learning for Industrial AI with Pieter Abbeel - #476

19 Apr 2021
1h 5m
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AutoML for Natural Language Processing with Abhishek Thakur - #475

16 Apr 2021
40m
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Theory of Computation with Jelani Nelson - #473

15 Apr 2021
36m
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Human-Centered ML for High-Risk Behaviors with Stevie Chancellor - #472

15 Apr 2021
42m
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End to End ML at Cloudera with Santiago Giraldo - #469 [TWIMLcon Sponsor Series]

29 Mar 2021
22m
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ML Platforms for Global Scale at Prosus with Paul van der Boor - #468 [TWIMLcon Sponsor Series]

29 Mar 2021
21m
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Can Language Models Be Too Big? 🦜with Emily Bender and Margaret Mitchell - #467

25 Mar 2021
58m
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Applying RL to Real-World Robotics with Abhishek Gupta - #466

25 Mar 2021
38m
AI processed

Reinforcement learning (RL) in robotics faces significant hurdles due to mismatched assumptions between controlled simulations and unpredictable real-world environments. Abhishek Gupta, a PhD student at UC Berkeley, addresses these challenges by developing methods for autonomous, reset-free learning that function witho...

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Accelerating Innovation with AI at Scale with David Carmona - #465

24 Mar 2021
50m
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Complexity and Intelligence with Melanie Mitchell - #464

24 Mar 2021
37m
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Robust Visual Reasoning with Adriana Kovashka - #463

24 Mar 2021
47m
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Architectural and Organizational Patterns in Machine Learning with Nishan Subedi - #462

23 Mar 2021
1h 5m
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Common Sense Reasoning in NLP with Vered Shwartz - #461

23 Mar 2021
43m
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How to Be Human in the Age of AI with Ayanna Howard - #460

23 Mar 2021
37m
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Evolution and Intelligence with Penousal Machado - #459

15 Mar 2021
1h 2m
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Innovating Neural Machine Translation with Arul Menezes - #458

26 Feb 2021
47m
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