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.
551
Applied Machine Learning for Publishers with Na...
In today’s episode we’re joined by Naveed Ahmad, Senior Director of data engineering and machine learning at Hearst Newspapers. A few months ago, Naveed gave a talk at the Google Cloud Next Conference on “How Publishers Can Take Advantage of...
38 min
552
Anticipating Superintelligence with Nick Bostro...
In this episode, we’re joined by Nick Bostrom, professor in the faculty of philosophy at the University of Oxford, where he also heads the Future of Humanity Institute, a multidisciplinary institute focused on answering big-picture questions for...
43 min
553
Can We Train an AI to Understand Body Language?...
In this episode, we’re joined by Hanbyul Joo, a PhD student in the Robotics Institute at Carnegie Mellon University. Han, who is on track to complete his thesis at the end of the year, is working on what is called the “Panoptic Studio,” a...
50 min
554
Biological Particle Identification and Tracking...
In today’s episode we’re joined by Jay Newby, Assistant Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta. Jay joins us to discuss his work applying deep learning to biology, including his paper...
44 min
555
AI for Content Creation with Debajyoti Ray - TW...
In today’s episode we’re joined by Debajyoti Ray, Founder and CEO of RivetAI, a startup producing AI-powered tools for storytellers and filmmakers. Rivet’s tools are inspired in part by the founders’ collaboration with the team that created...
54 min
556
Deep Reinforcement Learning Primer and Research...
Today we’re joined by Kamyar Azizzadenesheli, PhD student at the University of California, Irvine, and visiting researcher at Caltech where he works with Anima Anandkumar, who you might remember from . We begin with a reinforcement learning primer...
93 min
557
OpenAI Five with Christy Dennison - TWiML Talk ...
Today we’re joined by Christy Dennison, Machine Learning Engineer at OpenAI. Since joining OpenAI earlier this year, Christy has been working on OpenAI’s efforts to build an AI-powered agent to play the DOTA 2 video game. Our conversation begins...
47 min
558
How ML Keeps Shelves Stocked at Home Depot with...
Today we’re joined by Pat Woowong, principal engineer in the applied machine intelligence group at The Home Depot. We discuss a project that Pat recently presented at the Google Cloud Next conference which used machine learning to predict shelf-out...
44 min
559
Contextual Modeling for Language and Vision wit...
Today we’re joined by Nasrin Mostafazadeh, Senior AI Research Scientist at New York-based Elemental Cognition. Our conversation focuses on Nasrin’s work in event-centric contextual modeling in language and vision, which she sees as a means of...
48 min
560
ML for Understanding Satellite Imagery at Scale...
Today we’re joined by Kyle Story, computer vision engineer at Descartes Labs. Kyle and I caught up after his recent talk at the Google Cloud Next Conference titled “How Computers See the Earth: A Machine Learning Approach to Understanding...
55 min
561
Generating Ground-Level Images From Overhead Im...
Today we’re joined by Yi Zhu, a PhD candidate at UC Merced focused on geospatial image analysis. In our conversation, Yi and I take a look at his recent paper “.” Yi and I discuss the goal of this research, which is to train effective land-use...
37 min
562
Vision Systems for Planetary Landers and Drones...
Today we’re joined by Larry Matthies, Sr. Research Scientist and head of computer vision in the mobility and robotics division at JPL. Larry joins us on the heels of two presentations at this year’s CVPR conference, the first on Onboard Stereo...
42 min
563
Learning Semantically Meaningful and Actionable...
In this episode I'm joined by Ashutosh Saxena, a veteran of Andrew Ng’s Stanford Machine Learning Group, and co-founder and CEO of Caspar.ai. Ashutosh and I discuss his RoboBrain project, a computational system that creates semantically meaningful...
44 min
564
AI Innovation for Clinical Decision Support wit...
In this episode I speak with Joe Connor, Founder of Experto Crede. Joe’s been listening to the podcast for a while and he and I connected after he reached out to discuss an article I wrote regarding AI in the healthcare space. In this conversation,...
41 min
565
Dynamic Visual Localization and Segmentation wi...
In this episode I'm joined by Laura Leal-Taixé, Professor at the Technical University of Munich where she leads the Dynamic Vision and Learning Group, and 2017 recipient of prestigious Sofja Kovalevskaja Award. In our conversation, we discuss several...
43 min
566
Conversational AI for the Intelligent Workplace...
In this episode I'm joined by Gillian McCann, Head of Cloud Engineering and AI at Workgrid Software. Workgrid offers an intelligent workplace assistant that integrates with a variety of business tools and systems. In our conversation, which...
35 min
567
Computer Vision and Intelligent Agents for Wild...
In this episode, I'm joined by Jason Holmberg, Executive Director and Director of Engineering at WildMe. Wildme’s Wildbook and Whaleshark.org are both open source computer vision based conservation projects, that have been compared to a facebook for...
47 min
568
Pragmatic Deep Learning for Medical Imagery wit...
In this episode I'm joined by Prashant Warier, CEO and Co-Founder of Qure.ai, a company building AI-powered software for radiology. In our conversation, Prashant and I discuss the company’s work building products for interpreting head CT scans and...
35 min
569
Taskonomy: Disentangling Transfer Learning for ...
In this episode I'm joined by Amir Zamir, Postdoctoral researcher at both Stanford & UC Berkeley. Amir joins us fresh off of winning the 2018 CVPR Best Paper Award for co-authoring In this work, Amir and his coauthors explore the relationships...
46 min
570
Predicting Metabolic Pathway Dynamics w/ Machin...
In today’s episode I’m joined by Zak Costello, post-doctoral fellow at the Joint BioEnergy Institute. Zak joins me to discuss his recent paper, “A machine learning approach to predict metabolic pathway dynamics from time-series multiomics...
38 min
571
Machine Learning to Discover Physics and Engine...
In this episode, I’m joined by Nathan Kutz, Professor of applied mathematics, electrical engineering and physics at the University of Washington. Nathan and I met a few months ago at the Prepare.AI conference in St. Louis where he gave a talk on...
42 min
572
Automating Complex Internal Processes w/ AI wit...
In this episode, I'm joined by Alexander Chukovski, Director of Data Services at Munich, Germany based career platform, Experteer. In our conversation, we explore Alex’s journey to implement machine learning at Experteer. Alex and I discuss the...
38 min
573
Designing Better Sequence Models with RNNs with...
In this episode, I'm joined by Adji Bousso Dieng, PhD Student in the Department of Statistics at Columbia University. In this interview, Adji and I discuss two of her recent papers, the first, an accepted paper from this year’s ICML conference...
37 min
574
Love Love: AI and ML in Tennis with Stephanie K...
In this, the final show in our AI in Sports series, I’m joined by Stephanie Kovalchik, Research Fellow at Victoria University and Senior Sports Scientist at Tennis Australia. Stephanie and I had a great conversation about a few of the many...
46 min
575
Growth Hacking Sports w/ Machine Learning with ...
In this episode of our AI in Sports series I'm joined by Noah Gift, Founder and Consulting CTO at Pragmatic Labs and professor at UC Davis. Noah previously worked for a startup called Score Sports, which used machine learning to uncover athlete...
49 min