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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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Want to learn how to lose $40,000? One company inadvertently did— by embracing infinite storage and compute without guardrails, an oversight that could have been solved with MLOps. Sometimes defined as “DevOps for ML”, MLOps encompasses everything from the hardware and software on which machine learning is done to the governance and ethics associat…
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14 - Feature Stores with Atindriyo Sanyal from Uber
15:28
15:28
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15:28
We're talking about 2021’s hottest MLOps technology— feature stores. But what is a feature store, and what on earth do they do? Atindriyo Sanyal, Technical Lead on the Machine Learning Platform team at Uber, shares Uber’s feature store journey, the benefits feature stores have provided for their data science team, and where they're going next. Hear…
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13 - Building Trustworthy AI with Beena Ammanath of Deloitte
15:45
15:45
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15:45
Would you trust an AI that told you when a plane engine was going to fail? What if the information gathered by that AI lost you your job? On this week’s episode, we discuss ethics, bias, fairness, and how building trustworthy AI isn’t a one size fits all endeavor with Beena Ammanath, director of the Deloitte AI Institute. Hear Beena talk about her …
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12 - Improving Patient Outcomes with Dr. Devin Singh
14:37
14:37
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14:37
Even before COVID-19 overwhelmed hospitals, many healthcare workers were feeling engulfed by their workload, never having enough time to properly focus on their patients. Automating key tasks in the patient journey could help change this, so patients receive the best possible care. Dr. Devin Singh, a pediatric emergency physician in Toronto, Canada…
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Imagine you're a rover on Mars, trying to find your way around. There's no towering skyscrapers or bodies of water to tell you where you are. What do you look for? The original natural landmarks: changes in land elevation that denote mountains and craters. On this week’s episode, Dr. Danielle DeLatte, a Space Systems Engineer at Draper, came in to …
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10 - The Future of Work with Fred Goff of Jobcase
15:02
15:02
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15:02
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…
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9 - Autonomous Vehicles with Boris Sofman from Waymo
15:16
15:16
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15:16
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…
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8 - Satellite Imagery and Sustainability with James Crawford from Orbital Insights
15:43
15:43
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15:43
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…
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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…
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6 - Climate Change & Energy Optimization with Priya Donti from Carnegie Mellon
15:26
15:26
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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…
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5 - Human-in-the-loop with Carla Brodley from Northeastern
14:17
14:17
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14:17
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…
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4 - Fighting COVID-19 with Oren Etzioni from AI2
14:25
14:25
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14:25
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…
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3 - Multi-Agent Systems at JP Morgan with Manuela Veloso
15:26
15:26
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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…
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2 - Predicting Wildfires with Krishna Rao from Stanford
12:32
12:32
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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…
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1 - Language Meaning with Tom Mitchell from Carnegie Mellon
10:04
10:04
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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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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 …
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