
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


Towards a Systems-Level Approach to Fair ML with Sarah M. Brown - #456

AI for Digital Health Innovation with Andrew Trister - #455

System Design for Autonomous Vehicles with Drago Anguelov - #454
Autonomous driving requires a holistic system design that integrates hardware, software, and rigorous simulation to achieve safe, scalable operations. Waymo leverages a sensor-fusion approach, combining LiDAR, radar, and cameras to ensure redundancy and robustness against the long-tail of edge cases. Machine learning s...

Building, Adopting, and Maturing LinkedIn’s Machine Learning Platform with Ya Xu - #453

Expressive Deep Learning with Magenta DDSP w/ Jesse Engel - #452

Innovating Neural Machine Translation with Arul Menezes - #458

System Design for Autonomous Vehicles with Drago Anguelov - #454 - Audio Only

Semantic Folding for Natural Language Understanding with Francisco Webber - #451

The Future of Autonomous Systems with Gurdeep Pall - #450

AI for Ecology and Ecosystem Preservation with Bryan Carstens - #449

Off-Line, Off-Policy RL for Real-World Decision Making at Facebook - #448

A Future of Work for the Invisible Workers in A.I. with Saiph Savage - #447

Trends in Computer Vision with Pavan Turaga - #444

Trends in Graph Machine Learning with Michael Bronstein - #446

Trends in Natural Language Processing with Sameer Singh - #445

Trends in Reinforcement Learning with Pablo Samuel Castro - #443

MOReL: Model-Based Offline Reinforcement Learning with Aravind Rajeswaran - #442

Machine Learning as a Software Engineering Enterprise with Charles Isbell - #441

Natural Graph Networks with Taco Cohen - #440
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