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Conversations with the people building AI

A Social Scientist’s Perspective on AI with Eric Rice - #511

A Social Scientist’s Perspective on AI with Eric Rice - #511

Today we’re joined by Eric Rice, associate professor at USC, and the co-director of the USC Center for Artificial Intelligence in Society. Eric is a sociologist by trade, and in our conversation, we explore how he has made extensive inroads within the machine learning community through collaborations with ML academics…

44 MinutesThe TWIML AI Podcast

NLP to help pregnant mothers in Kenya

NLP to help pregnant mothers in Kenya

In Kenya, 33% of maternal deaths are caused by delays in seeking care, and 55% of maternal deaths are caused by delays in action or inadequate care by providers. Jacaranda Health is employing NLP and dialogue system techniques to help mothers experience childbirth safely and with respect and to help newborns get a…

44 MinutesPractical AI

Codex, OpenAI’s Automated Code Generation API with Greg Brockman - #509

Codex, OpenAI’s Automated Code Generation API with Greg Brockman - #509

Today we’re joined by return guest Greg Brockman, co-founder and CTO of OpenAI. We had the pleasure of reconnecting with Greg on the heels of the announcement of Codex, OpenAI’s most recent release. Codex is a direct descendant of GPT-3 that allows users to do autocomplete tasks based on all of the publicly available…

47 MinutesThe TWIML AI Podcast

SLICED - will you make the (data science) cut?

SLICED - will you make the (data science) cut?

SLICED is like the TV Show Chopped but for data science. Competitors get a never-before-seen dataset and two-hours to code a solution to a prediction challenge. Meg and Nick, the SLICED show hosts, join us in this episode to discuss how the show is creating much needed data science community. They give us a behind the…

48 MinutesPractical AI

Spatiotemporal Data Analysis with Rose Yu - #508

Spatiotemporal Data Analysis with Rose Yu - #508

Today we’re joined by Rose Yu, an assistant professor at the Jacobs School of Engineering at UC San Diego. Rose’s research focuses on advancing machine learning algorithms and methods for analyzing large-scale time-series and spatial-temporal data, then applying those developments to climate, transportation, and other…

32 MinutesThe TWIML AI Podcast

Parallelism and Acceleration for Large Language Models with Bryan Catanzaro - #507

Parallelism and Acceleration for Large Language Models with Bryan Catanzaro - #507

Today we’re joined by Bryan Catanzaro, vice president of applied deep learning research at NVIDIA. Most folks know Bryan as one of the founders/creators of cuDNN, the accelerated library for deep neural networks. In our conversation, we explore his interest in high-performance computing and its recent overlap with AI…

51 MinutesThe TWIML AI Podcast

AI is creating never before heard sounds! 🎵

AI is creating never before heard sounds! 🎵

AI is being used to transform the most personal instrument we have, our voice, into something that can be “played.” This is fascinating in and of itself, but Yotam Mann from Never Before Heard Sounds is doing so much more! In this episode, he describes how he is using neural nets to process audio in real time for…

45 MinutesPractical AI

Applying the Causal Roadmap to Optimal Dynamic Treatment Rules with Lina Montoya - #506

Applying the Causal Roadmap to Optimal Dynamic Treatment Rules with Lina Montoya - #506

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 work applying Optimal Dynamic Treatment (ODT) to understand which kinds of…

54 MinutesThe TWIML AI Podcast

Building a data team

Building a data team

Inspired by a recent article from Erik Bernhardsson titled “Building a data team at a mid-stage startup: a short story”, Chris and Daniel discuss all things AI/data team building. They share some stories from their experiences kick starting AI efforts at various organizations and weight the pro and cons of things like…

46 MinutesPractical AI

Fairness and Robustness in Federated Learning with Virginia Smith -#504

Fairness and Robustness in Federated Learning with Virginia Smith -#504

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 applications, including where the distributed learning aspects of FL are…

37 MinutesThe TWIML AI Podcast