In this enlightening discussion, Ian Goodfellow, a staff research scientist at Google Brain renowned for his work on Generative Adversarial Networks (GANs), reveals how a bar argument inspired his groundbreaking idea. He delves into the mechanics of GANs, showcasing their role in reducing reliance on labeled data. Ian also discusses their application in identifying biases within datasets and their innovative use in cybersecurity to create deceptive honeypots for cyber attackers. This conversation is a fascinating blend of creativity and technical prowess!

Ian Goodfellow is the author of the popular textbook on deep learning (simply titled “Deep Learning”). He coined the term Generative Adversarial Networks (GANs) and with his 2014 paper is responsible for launching the incredible growth of research on GANs. Video version is available on YouTube. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations.

In this insightful discussion, molecular biologist Stephen Baker, virologist Ian Goodfellow, and infectious disease epidemiologist Caroline Trotter tackle the urgent crisis of antimicrobial resistance (AMR). They explore how the misuse of antimicrobials has accelerated the evolution of resistant pathogens. The guests highlight lessons learned from past pandemics, the complexities of vaccine development, and the critical need for global collaboration to combat future health threats. The conversation also delves into the impact of climate change on infectious disease spread.