Today, I’m joined by Davide Venturelli, science operations manager and quantum computing team lead for the Universities Space Research Association’s Institute for Advanced Computer Science at NASA Ames. Davide joined me backstage at the NYU Future Labs AI Summit a while back to give me some insight into a topic that I’ve been curious about for some time now, quantum computing.
Subscribe: iTunes / Google Play / Spotify / RSS
We kick off our discussion about the core ideas behind quantum computing, including what it is, how it’s applied and the ways it relates to computing as we know it today. We discuss the practical state of quantum computers and what their capabilities are, and the kinds of things you can do with them. And of course, we explore the intersection between AI and quantum computing, how quantum computing may one day accelerate machine learning, and how interested listeners can get started down the quantum rabbit hole.
Thanks to everyone who took the time to enter our #TWIML1MIL listener giveaway! We sent out an email to entrants a few days ago, so please be on the lookout for that. If you haven’t heard from us yet, please reach out to us at email@example.com so that we can get you your swag!
TWIML Online Meetup
The details for our January Meetup are set! Tuesday, January 16, we will be joined by veteran TWIML guest and Microsoft Researcher Timnit Gebru. Timnit joined us a few weeks ago to discuss her recently released, and much acclaimed paper, “Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States”, and I’m excited that she’s be joining us to discuss the paper, and the pipeline she used to identify 22 million cards in 50 million Google Street View images, in more detail. I’m anticipating a lively discussion segment, in which we’ll be exploring your AI resolutions & predictions for 2018. For links to the paper, or to register for the meetup, or to check out previous meetups, visit twimlai.com/meetup.