We interview Shri Santhanam, VP of AI and Analytics with Experian about how AI is transforming credit, ratings agencies, loans, and how they are using AI to help during the COVID-19 pandemic.

We're joined by Dr. Patrick Bowen, CEO of Neurophos - a company working to bring optical computing to AI inference. We cover optical, analog computation, metamaterials and heaps of fascinating physics and how that interfaces with artificial intelligence.

We interview Seth Earley of Earley Information Sciences, a data science consulting firm out of Boston. There are heaps of great information that we get into here covering AI applications for HR, supply chain, best practices, and the key ingredient most companies who are struggling with machine learning are missing.

We're joined by Max Sklar, Foursquare engineer and host of the Local Maximum podcast, to discuss the data issues around COVID-19, what it's like in New York right now, and some of the latest developments from Foursquare.

This has been a wild few weeks: COVID-19 has spread around the world, people are getting shelter in place orders, and the markets are reacting violently to the news. Last October, we recorded an episode predicting this bubble would pop soon. Here, we explain why we saw that coming and how you can educate yourself to be prepared for what's coming next.

We talk with CEO and founder of Spell, Serkan Piantino. Spell is a New York-based startup that is making AI better and easier for everyone involved by automating your experiments, deployment, and resources. We discuss his past experience at Facebook and get his thoughts on the future development of the field.

The coronavirus is inescapable - at least if you're watching the news. It is spreading around the world and worrying travelers, markets, and governments. Advances in machine learning, however, may help combat the spread and potentially offer paths towards a cure. We dig into the coronavirus mayhem and try to find AI's role in the mess.

Fresh off a decisive debate victory over Martin Ford, Antony and I discuss the debate, future of work, and some of the great things about an automated society. Also, Antony issues the challenge to others (*Andrew Yang*) who want to debate the topic of automation and AI's impact on jobs.

A recent NIST study investigates the bias in many commercially available facial-recognition algorithms. They results provide very interesting findings that challenge the dominant narrative surrounding AI and bias.

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