The TWIML AI Podcast (formerly This W...
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, computer science, data science and more.
251
Learning to Ponder: Memory in Deep Neural Netwo...
35 min
252
Advancing Deep Reinforcement Learning with NetH...
41 min
253
Building Technical Communities at Stack Overflo...
39 min
254
Deep Learning is Eating 5G. Here’s How, w/ Jose...
38 min
255
Modeling Human Cognition with RNNs and Curricul...
45 min
256
Do You Dare Run Your ML Experiments in Producti...
39 min
257
Delivering Neural Speech Services at Scale with...
47 min
258
AI’s Legal and Ethical Implications with Sandra...
47 min
259
Compositional ML and the Future of Software Dev...
39 min
260
Generating SQL Database Queries from Natural La...
36 min
261
Social Commonsense Reasoning with Yejin Choi - ...
50 min
262
Deep Reinforcement Learning for Game Testing at...
38 min
263
Exploring AI 2041 with Kai-Fu Lee - #516
45 min
264
Advancing Robotic Brains and Bodies with Daniel...
44 min
265
Neural Synthesis of Binaural Speech From Mono A...
44 min
266
Using Brain Imaging to Improve Neural Networks ...
35 min
267
Adaptivity in Machine Learning with Samory Kpot...
48 min
268
A Social Scientist’s Perspective on AI with Eri...
42 min
269
Applications of Variational Autoencoders and Ba...
41 min
270
Codex, OpenAI’s Automated Code Generation API w...
In this episode we're joined by OpenAI CTO and co-founder Greg Brockman to discuss their recent Codex and Copilot product releases.
45 min
271
Spatiotemporal Data Analysis with Rose Yu - #508
30 min
272
Parallelism and Acceleration for Large Language...
Today we're joined by Bryan Catanzaro of NVIDIA to discuss his work on cuDNN, high performance computing, parallelism for large language models, deep learning super sampling, and much more!
48 min
273
Applying the Causal Roadmap to Optimal Dynamic ...
Today we close out our 2021 ICML series joined by Lina Montoya, a postdoctoral researcher at UNC Chapel Hill. In our conversation with Lina, who was an invited speaker at the Neglected Assumptions in Causal Inference Workshop, we explored her...
53 min
274
Constraint Active Search for Human-in-the-Loop ...
Today we continue our ICML series joined by Gustavo Malkomes, a research engineer at Intel via their recent acquisition of SigOpt. In our conversation with Gustavo, we explore his paper , which focuses on a novel algorithmic solution for the...
48 min
275
Fairness and Robustness in Federated Learning w...
Today we kick off our ICML coverage joined by Virginia Smith, an assistant professor in the Machine Learning Department at Carnegie Mellon University. In our conversation with Virginia, we explore her work on cross-device federated learning...
36 min