
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


The Impact of NeRF on CV

Is It Time to Ditch ImageNet?

Trends in NLP with John Bohannon - #550

Trends in Computer Vision with Georgia Gkioxari - #549

Kids Run the Darndest Experiments: Causal Learning in Children with Alison Gopnik - #548

Hypergraphs, Simplicial Complexes and Graph Representations of Complex Systems - #547

Deep Learning, Transformers, and the Consequences of Scale with Oriol Vinyals - #546

Optimization School with Dr. Mike - #545

Jupyter and the Evolution of ML Tooling with Brian Granger - #544

Creating a Data-Driven Culture at ADP with Jack Berkowitz - #543

re:Invent Roundup 2021 with Bratin Saha - #542

Multi-modal Deep Learning for Complex Document Understanding with Doug Burdick - #541

Predictive Maintenance Using Deep Learning and Reliability Engineering with Shayan Mortazavi - #540

Building a Deep Tech Startup in NLP with Nasrin Mostafazadeh - #539

Models for Human-Robot Collaboration with Julie Shah - #538

Four Key Tools for Robust Enterprise NLP with Yunyao Li - #537

Machine Learning at GSK with Kim Branson - #536

The Benefit of Bottlenecks in Evolving Artificial Intelligence with David Ha - #535
Constraints serve as a fundamental driver for intelligence, shaping both biological evolution and effective machine learning architectures. Research scientist David Ha explores how imposing limitations—such as information bottlenecks, hard attention mechanisms, and shuffled sensory inputs—forces models to learn essenti...

Facebook Abandons Facial Recognition. Should Everyone Else Follow Suit? With Luke Stark - #534
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