ML for Understanding Satellite Imagery at Scale with Kyle Story – TWiML Talk #173

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 Satellite Imagery at Scale.” We discuss…

Generating Ground-Level Images From Overhead Imagery Using GANs with Yi Zhu – TWiML Talk #172

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 “What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead…

Vision Systems for Planetary Landers and Drones with Larry Matthies – TWiML Talk #171

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 Vision for Drone Pursuit…

Learning Semantically Meaningful and Actionable Representations with Ashutosh Saxena – TWiML…

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 and actionable representations of the objects, actions and…

TWiML & AI x Fast.ai Study Group – Session 5 Part 2 – July 21, 2018

**SUBSCRIBE AND TURN ON NOTIFICATIONS** **twimlai.com** This video is a recap of our Fast.ai x TWiML Online Study Group. In this session, we review part two of lesson of five, Collaborative Filtering; Inside the Training Loop. It’s not too late to join the study group….

TWiML & AI x Fast.ai Study Group – Session 6 Part 1 – July 28, 2018

**SUBSCRIBE AND TURN ON NOTIFICATIONS** **twimlai.com** This video is a recap of our Fast.ai x TWiML Online Study Group. In this session, we review part one of lesson of six, Interpreting Embeddings; RNNs from Scratch. It’s not too late to join the study group. Just…

AI Innovation for Clinical Decision Support with Joe Connor – TWiML Talk #169

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,…

Dynamic Visual Localization and Segmentation with Laura Leal-Taixé -TWiML Talk #168

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 of her recent projects including work on…

Conversational AI for the Intelligent Workplace with Gillian McCann – TWiML Talk #167

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 focuses on Workgrid’s use of cloud-based AI…

Computer Vision and Intelligent Agents for Wildlife Conservation with Jason Holmberg – TWiML…

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 wildlife. Jason kicks us off with the interesting…