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
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
252
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
253
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
254
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
255
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
256
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
257
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
258
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
259
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
260
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
261
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
262
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
263
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
264
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
265
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
266
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
267
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
268
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
269
Common Sense Reasoning in NLP with Vered Shwart...
Today we’re joined by Vered Shwartz, a Postdoctoral Researcher at both the Allen Institute for AI and the Paul G. Allen School of Computer Science & Engineering at the University of Washington. In our conversation with Vered, we explore her NLP...
36 min
270
How to Be Human in the Age of AI with Ayanna Ho...
Today we’re joined by returning guest and newly appointed Dean of the College of Engineering at The Ohio State University, Ayanna Howard. Our conversation with Dr. Howard focuses on her recently released book, Sex, Race, and Robots: How to Be...
34 min
271
How to Be Human in the Age of AI with Ayanna Ho...
Today we’re joined by returning guest and newly appointed Dean of the College of Engineering at The Ohio State University, Ayanna Howard. Our conversation with Dr. Howard focuses on her recently released book, Sex, Race, and Robots: How to Be...
35 min
272
Evolution and Intelligence with Penousal Machad...
Today we’re joined by Penousal Machado, Associate Professor and Head of the Computational Design and Visualization Lab in the Center for Informatics at the University of Coimbra. In our conversation with Penousal, we explore his research in...
56 min
273
Innovating Neural Machine Translation with Arul...
Today we’re joined by Arul Menezes, a Distinguished Engineer at Microsoft. Arul, a 30 year veteran of Microsoft, manages the machine translation research and products in the Azure Cognitive Services group. In our conversation, we explore the...
43 min
274
Building the Product Knowledge Graph at Amazon ...
Today we’re joined by Luna Dong, Sr. Principal Scientist at Amazon. In our conversation with Luna, we explore Amazon’s expansive product knowledge graph, and the various roles that machine learning plays throughout it. We also talk through the...
42 min
275
Towards a Systems-Level Approach to Fair ML wit...
Today we’re joined by Sarah Brown, an Assistant Professor of Computer Science at the University of Rhode Island. In our conversation with Sarah, whose research focuses on Fairness in AI, we discuss why a “systems-level” approach is necessary...
36 min