Monte Zweben is the CEO of Splice Machine, advisor at CMU School of Computer Science, and host of ML Minutes Podcast.
Dr. Manuela Veloso, head of the Artificial Intelligence Research Lab at J.P. Morgan and Herb Simon University Professor at Carnegie Mellon, talked to Monte about the role multi-agent systems play in both robotics and finance, as well as her thoughts on machine learning explainability. Learn more about AI Research at JP Morgan here, or read their recent paper about Prediction in Multiplex Networks if you're looking for the real nitty-gritty.Hear Manuela's thoughts on misconceptions of AI and natural language processing in our Bonus Minutes on our website, mlminutes.com, where you can also find episode transcripts, additional resources, and more. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, LinkedIn, Instagram, or Facebook. Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny Objects, both on the OM Records label.
Krishna Rao, an Earth scientist PhD student at Stanford University, came in to explain the factors that influence wildfire risk, and talk about a tool he created using machine learning that helps predict where wildfires might happen. You can test out Krishna's fuel moisture map here, read the academic paper he wrote, or his summary in Toward Data Science.Listen to Krishna's Bonus Minutes on GTP-3 and bias in machine learning in our Bonus Minutes on our website, mlminutes.com, where you can also find episode transcripts, additional resources, and more. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, LinkedIn, Instagram, or Facebook. Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny Objects, both on the OM Records label.
Tom Mitchell, founder of Carnegie Mellon's (and the world's) first Machine Learning department, came in to discuss his research at the intersection of Machine Learning and Cognitive Neuroscience. We discussed where the meaning of words lie in the brain, and how machine learning can help us discover more. You can read more of Tom's research here!Listen to Tom's thoughts on GTP-3 and the future of machine learning in our Bonus Minutes on our website, mlminutes.com, where you can also find episode transcripts, additional resources, and more. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, LinkedIn, Instagram, or Facebook.Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny Objects, both on the OM Records label.
Welcome to our one-of-a-kind machine learning podcast! Meet your host, Monte Zweben, and listen as Monte demonstrates our unique format by explaining machine learning in only one minute, including some fun examples.If you like what you heard, check out our interviews with other thought leaders in this same structure!For more information about ML Minutes, visit our website. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, Instagram, LinkedIn, or Facebook. Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny Objects, both on the OM Records label.
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Creator Details

Location
San Francisco, California, United States of America
Episode Count
4
Podcast Count
1
Total Airtime
40 minutes, 7 seconds
PCID
Podchaser Creator ID logo 728520