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Conversations with the people building AI

Practical Deep Learning with Rachel Thomas - TWiML Talk #138

Practical Deep Learning with Rachel Thomas - TWiML Talk #138

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 course. The courses are designed to…

44 MinutesThe TWIML AI Podcast

Kinds of Intelligence w/ Jose Hernandez-Orallo - TWiML Talk #137

Kinds of Intelligence w/ Jose Hernandez-Orallo - TWiML Talk #137

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 at NIPS last year after…

44 MinutesThe TWIML AI Podcast

Taming arXiv with Natural Language Processing w/ John Bohannon - TWiML Talk #136

Taming arXiv with Natural Language Processing w/ John Bohannon - TWiML Talk #136

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. Anyway, in that interview, Jeff mentions the recent explosion of…

54 MinutesThe TWIML AI Podcast

Epsilon Software for Private Machine Learning with Chang Liu - TWiML Talk #135

Epsilon Software for Private Machine Learning with Chang Liu - TWiML Talk #135

In this episode, our final episode in the Differential Privacy series, I speak with Chang Liu, applied research scientist at Georgian Partners, a venture capital firm that invests in growth stage business software companies in the US and Canada. Chang joined me to discuss Georgian’s new offering, Epsilon, a software…

47 MinutesThe TWIML AI Podcast

Scalable Differential Privacy for Deep Learning with Nicolas Papernot - TWiML Talk #134

Scalable Differential Privacy for Deep Learning with Nicolas Papernot - TWiML Talk #134

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 his recent paper, Semi-supervised…

59 MinutesThe TWIML AI Podcast

Differential Privacy at Bluecore with Zahi Karam - TWiML Talk #133

Differential Privacy at Bluecore with Zahi Karam - TWiML Talk #133

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 my initial exposure to the…

38 MinutesThe TWIML AI Podcast

Differential Privacy Theory & Practice with Aaron Roth - TWiML Talk #132

Differential Privacy Theory & Practice with Aaron Roth - TWiML Talk #132

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 and theory behind…

43 MinutesThe TWIML AI Podcast

Optimal Transport and Machine Learning with Marco Cuturi - TWiML Talk #131

Optimal Transport and Machine Learning with Marco Cuturi - TWiML Talk #131

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 compare probability measures. We look at…

33 MinutesThe TWIML AI Podcast

Collecting and Annotating Data for AI with Kiran Vajapey - TWiML Talk #130

Collecting and Annotating Data for AI with Kiran Vajapey - TWiML Talk #130

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 explore techniques like data…

40 MinutesThe TWIML AI Podcast

Infrastructure for Autonomous Vehicles with Missy Cummings - TWiML Talk #128

Infrastructure for Autonomous Vehicles with Missy Cummings - TWiML Talk #128

In this episode, I’m joined by Missy Cummings, head of Duke University’s Humans and Autonomy Lab and professor in the department of mechanical engineering. In addition to being an accomplished researcher, Missy also became one of the first female fighter pilots in the US Navy following the repeal of the Combat…

44 MinutesThe TWIML AI Podcast

Hyper-Personalizing the Customer Experience w/ AI with Rob Walker - TWiML Talk #127

Hyper-Personalizing the Customer Experience w/ AI with Rob Walker - TWiML Talk #127

In this episode, we're joined by Rob Walker, Vice President of decision management and analytics at Pegasystems, a leading provider of software for customer engagement and operational excellence. Rob and I discuss what’s required for enterprises to fully realize the vision of providing a hyper-personalized customer…

42 MinutesThe TWIML AI Podcast