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
Causal Models in Practice at Lyft with Sean Tay...
Today we’re joined by Sean Taylor, Staff Data Scientist at Lyft Rideshare Labs. We cover a lot of ground with Sean, starting with his recent decision to step away from his previous role as the lab director to take a more hands-on role, and what...
39 min
252
Using AI to Map the Human Immune System w/ Jabr...
Today we’re joined by Jabran Zahid, a Senior Researcher at Microsoft Research. In our conversation with Jabran, we explore their recent endeavor into the complete mapping of which T-cells bind to which antigens through the Antigen Map Project. We...
39 min
253
Learning Long-Time Dependencies with RNNs w/ Ko...
Today we conclude our 2021 ICLR coverage joined by Konstantin Rusch, a PhD Student at ETH Zurich. In our conversation with Konstantin, we explore his recent papers, titled coRNN and uniCORNN respectively, which focus on a novel architecture of...
35 min
254
What the Human Brain Can Tell Us About NLP Mode...
Today we continue our ICLR ‘21 series joined by Allyson Ettinger, an Assistant Professor at the University of Chicago. One of our favorite recurring conversations on the podcast is the two-way street that lies between machine learning and...
36 min
255
Probabilistic Numeric CNNs with Roberto Bondesa...
Today we kick off our ICLR 2021 coverage joined by Roberto Bondesan, an AI Researcher at Qualcomm. In our conversation with Roberto, we explore his paper , which represents features as Gaussian processes, providing a probabilistic description of...
39 min
256
Building a Unified NLP Framework at LinkedIn wi...
Today we’re joined by Huiji Gao, a Senior Engineering Manager of Machine Learning and AI at LinkedIn. In our conversation with Huiji, we dig into his interest in building NLP tools and systems, including a recent open-source project called...
32 min
257
Dask + Data Science Careers with Jacqueline Nol...
Today we’re joined by Jacqueline Nolis, Head of Data Science at Saturn Cloud, and co-host of the . You might remember Jacqueline from our panel, where she shared her experience trying to navigate the suddenly hectic data science job market....
33 min
258
Machine Learning for Equitable Healthcare Outco...
Today we’re joined by Irene Chen, a Ph.D. student at MIT. Irene’s research is focused on developing new machine learning methods specifically for healthcare, through the lens of questions of equity and inclusion. In our conversation, we...
35 min
259
AI Storytelling Systems with Mark Riedl - #478
Today we’re joined by Mark Riedl, a Professor in the School of Interactive Computing at Georgia Tech. In our conversation with Mark, we explore his work building AI storytelling systems, mainly those that try and predict what listeners think will...
40 min
260
Creating Robust Language Representations with J...
Today we’re joined by Jamie Macbeth, an assistant professor in the department of computer science at Smith College. In our conversation with Jamie, we explore his work at the intersection of cognitive systems and natural language...
39 min
261
Reinforcement Learning for Industrial AI with P...
Today we’re joined by Pieter Abbeel, a Professor at UC Berkeley, co-Director of the Berkeley AI Research Lab (BAIR), as well as Co-founder and Chief Scientist at Covariant. In our conversation with Pieter, we cover a ton of ground, starting with the...
57 min
262
AutoML for Natural Language Processing with Abh...
Today we’re joined by Abhishek Thakur, a machine learning engineer at Hugging Face, and the world’s first Quadruple Kaggle Grandmaster! In our conversation with Abhishek, we explore his Kaggle journey, including how his approach to competitions...
35 min
263
Inclusive Design for Seeing AI with Saqib Shaik...
Today we’re joined by Saqib Shaikh, a Software Engineer at Microsoft, and the lead for the Seeing AI Project. In our conversation with Saqib, we explore the Seeing AI app, an app “that narrates the world around you.” We discuss the various...
34 min
264
Theory of Computation with Jelani Nelson - #473
Today we’re joined by Jelani Nelson, a professor in the Theory Group at UC Berkeley. In our conversation with Jelani, we explore his research in computational theory, where he focuses on building streaming and sketching algorithms, random...
32 min
265
Human-Centered ML for High-Risk Behaviors with ...
Today we’re joined by Stevie Chancellor, an Assistant Professor in the Department of Computer Science and Engineering at the University of Minnesota. In our conversation with Stevie, we explore her work at the intersection of human-centered...
39 min
266
Operationalizing AI at Dataiku with Conor Jense...
In this episode, we’re joined by Dataiku’s Director of Data Science, Conor Jensen. In our conversation, we explore the panel he lead at TWIMLcon “AI Operationalization: Where the AI Rubber Hits the Road for the Enterprise,” discussing the ML...
22 min
267
ML Lifecycle Management at Algorithmia with Die...
In this episode, we’re joined by Diego Oppenheimer, Founder and CEO of Algorithmia. In our conversation, we discuss Algorithmia’s involvement with TWIMLcon, as well as an exploration of the results of their recently conducted survey on the state...
25 min
268
End to End ML at Cloudera with Santiago Giraldo...
In this episode, we’re joined by Santiago Giraldo, Director Of Product Marketing for Data Engineering & Machine Learning at Cloudera. In our conversation, we discuss Cloudera’s talks at TWIMLcon, as well as their various research efforts from...
21 min
269
ML Platforms for Global Scale at Prosus with Pa...
In this episode, we’re joined by Paul van der Boor, Senior Director of Data Science at Prosus, to discuss his TWIMLcon experience and how they’re using ML platforms to manage machine learning at a global scale. The complete show notes for this...
21 min
270
Can Language Models Be Too Big? 🦜 with Emily Be...
Today we’re joined by Emily M. Bender, Professor at the University of Washington, and AI Researcher, Margaret Mitchell. Emily and Meg, as well as Timnit Gebru and Angelina McMillan-Major, are co-authors on the paper 🦜. As most of you...
53 min
271
Applying RL to Real-World Robotics with Abhishe...
Today we’re joined by Abhishek Gupta, a PhD Student at UC Berkeley. Abhishek, a member of the BAIR Lab, joined us to talk about his recent robotics and reinforcement learning research and interests, which focus on applying RL to real-world...
35 min
272
Accelerating Innovation with AI at Scale with D...
Today we’re joined by David Carmona, General Manager of Artificial Intelligence & Innovation at Microsoft. In our conversation with David, we focus on his work on AI at Scale, an initiative focused on the change in the ways people are...
47 min
273
Complexity and Intelligence with Melanie Mitche...
Today we’re joined by Melanie Mitchell, Davis Professor at the Santa Fe Institute and author of Artificial Intelligence: A Guide for Thinking Humans. While Melanie has had a long career with a myriad of research interests, we focus on a few,...
32 min
274
Robust Visual Reasoning with Adriana Kovashka -...
Today we’re joined by Adriana Kovashka, an Assistant Professor at the University of Pittsburgh. In our conversation with Adriana, we explore her visual commonsense research, and how it intersects with her background in media studies. We discuss the...
40 min
275
Architectural and Organizational Patterns in Ma...
Today we’re joined by Nishan Subedi, VP of Algorithms at Overstock.com. In our conversation with Nishan, we discuss his interesting path to MLOps and how ML/AI is used at Overstock, primarily for search/recommendations and marketing/advertisement...
56 min