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Learn the latest and greatest applications of machine learning from cutting-edge thought leaders, in the time it takes to do the dishes. Every other Wednesday, join Monte Zweben for fascinating conversations with researchers and practitioners in the machine learning world. Discover new applications of machine learning and artificial intelligence in every 15-minute episode.
 
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Machine Learning has been used to increase profit for businesses and solve tough problems in research, but what if ML was being harnessed to help people? Well, there are few things that affect people’s lives more than work. On this week’s episode, Fred Goff, CEO of Jobcase, talks about harnessing the power of ML to empower workers and build communi…
 
What’s the deal with autonomous vehicles? For starters, saving 40,000 lives per year and answering some of the most interesting questions in artificial intelligence. Boris Sofman, Head of Perception and Trucking Engineering at Waymo, came in to discuss the methods used to train autonomous vehicles, covering where datasets are gathered, how performa…
 
Where do things come from? It’s hard to tell down here on the ground, but cameras way up in space are capturing movement from all around the world to help answer this question. James Crawford, CEO of Orbital Insight, came in to explain how his company uses computer vision to make observations about the world we live in today, and ways we can use th…
 
Want to win a free Apple Watch? Enter now at mlminutes.com/giveaway. Back in the 90's, people said, "Just write code!" That is, until they realized how hard it was to update the software once it had been released. DevOps techniques were created to shorten the development life cycle and provide high quality software on a regular basis. The same thin…
 
Have you ever wondered what you could do to help the planet combat climate change? Priya Donti did, too-- and now she's researching energy optimization and assembling folks in her community to tackle the defining problem of our future. Priya is a PhD student in Computer Science and Public Policy at Carnegie Mellon, as well as the co-founder and cha…
 
Dr. Carla Brodley, Dean of Northeastern’s Khoury College of Computer Sciences, came in to discuss the role human experts should play for application-driven machine learning. Here's the study Carla did on patients with treatment-resistant epilepsy. Learn more about Northeastern's Experiential Institute for AI or the Align program to increase diversi…
 
Dr. Oren Etzioni, CEO of the Allen Institute for AI (or AI2), talked to Monte about CORD-19, AI2's initiative to aid researchers studying COVID-19 . CORD-19 is an open research database that identifies the most pressing advances using comprehensive natural language processing. Learn more about in Oren's WIRED article, or get the details in the acad…
 
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 re…
 
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 S…
 
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! Li…
 
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