Taryn Southern Interview – Exploring AI-Generated Music

In this episode I’m joined by Taryn Southern – a singer, digital storyteller and Youtuber, whose upcoming album I AM AI will be produced completely with AI based tools. Taryn and I explore all aspects of what it means to create music with modern AI-based…

Rachel Thomas Interview – Practical Deep Learning

In this episode, i’m joined by Rachel Thomas, founder and researcher at Fast AI. If you’re not familiar with Fast AI, the company offers a series of courses including Practical Deep Learning for Coders, Cutting Edge Deep Learning for Coders and Rachel’s Computational Linear Algebra…

Jose Hernandez-Orallo Interview – Kinds of Intelligence: Types, Tests & Meeting the Needs of Society

In this episode, I’m joined by Jose Hernandez-Orallo, professor in the department of information systems and computing at Universitat Politècnica de València and fellow at the Leverhulme Centre for the Future of Intelligence, working on the Kinds of Intelligence Project. Jose and I caught up…

John Bohannon Interview – Taming arXiv with Natural Language Processing

In this episode i’m joined by John Bohannan, Director of Science at AI startup Primer. As you all may know, a few weeks ago we released my interview with Google legend Jeff Dean, which, by the way, you should definitely check if you haven’t already….

Nicolas Papernot Interview – Scalable Differential Privacy for Deep Learning

In this episode of our Differential Privacy series, I’m joined by Nicolas Papernot, Google PhD Fellow in Security and graduate student in the department of computer science at Penn State University. Nicolas and I continue this week’s look into differential privacy with a discussion of…

Zahi Karam Interview – Differential Privacy at Bluecore

In this episode of our Differential Privacy series, I’m joined by Zahi Karam, Director of Data Science at Bluecore, whose retail marketing platform specializes in personalized email marketing. I sat down with Zahi at the Georgian Partners portfolio conference last year, where he gave me…

Aaron Roth Interview – Differential Privacy Theory & Practice

In the first episode of our Differential Privacy series, I’m joined by Aaron Roth, associate professor of computer science and information science at the University of Pennsylvania. Aaron is first and foremost a theoretician, and our conversation starts with him helping us understand the context…

Marco Cuturi Interview – Optimal Transport and Machine Learning

In this episode, i’m joined by Marco Cuturi, professor of statistics at Université Paris-Saclay. Marco and I spent some time discussing his work on Optimal Transport Theory at NIPS last year. In our discussion, Marco explains Optimal Transport, which provides a way for us to…

Kiran Vajapey Interview – Collecting and Annotating Data for AI

In this episode, I’m joined by Kiran Vajapey, a human-computer interaction developer at Figure Eight. In this interview, Kiran shares some of what he’s has learned through his work developing applications for data collection and annotation at Figure Eight and earlier in his career. We…

Christopher Lum Interview – Autonomous Aerial Guidance, Navigation and Control Systems

Ok, In this episode, I’m joined by Christopher Lum, Research Assistant Professor in the University of Washington’s Department of Aeronautics and Astronautics. Chris also co-heads the University’s Autonomous Flight Systems Lab, where he and his students are working on the guidance, navigation, and control of…