769: Generative AI for Medicine, with Prof. Zack Lipton
Generative AI in medicine takes center stage as Prof. Zachary Lipton, Chief Scientific Officer at Abridge, joins host Jon Krohn to discuss the significant advancements in AI that are reshaping healthcare.
This episode is brought to you by the DataConnect Conference, and by Data Universe, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.
In this episode you will learn:
• The inspiration for Zack to get started in ML and healthcare [03:56]
• The hardware required to use Abridge [12:29]
• The key data science projects at Abridge right now [35:05]
• Abridge's tech stack [59:54]
• How Abridge ensures reliability in a high-stakes setting like healthcare [1:07:29]
• How Zack’s academic research cross-pollinates with his commercial ML projects [1:21:05]
• How Zack’s jazz background molded his entrepreneur and data science journey [1:30:32]
Additional materials: www.superdatascience.com/769
Trends in Machine Learning & Deep Learning with Zachary Lipton - #556
Today we continue our AI Rewind 2021 series joined by a friend of the show, assistant professor at Carnegie Mellon University, and AI Rewind veteran, Zack Lipton! In our conversation with Zack, we touch on recurring themes like “NLP Eating AI” and the recent slowdown in innovation in the field, the redistribution of resources across research problems, and where the opportunities for real breakthroughs lie. We also discuss problems facing the current peer-review system, notable research from last year like the introduction of the WILDS library, and the evolution of problems (and potential solutions) in fairness, bias, and equity. Of course, we explore some of the use cases and application areas that made notable progress in 2021, what Zack is looking forward to in 2022 and beyond, and much more!
The complete show notes for this episode can be found at twimlai.com/go/556
Trends in Machine Learning & Deep Learning with Zack Lipton - #334
Today we kick off our 2019 AI Rewind Series joined by Zack Lipton, Professor at CMU.
You might remember Zack from our conversation earlier this year, “Fairwashing” and the Folly of ML Solutionism. In today's conversation, Zack recaps advancements across the vast fields of Machine Learning and Deep Learning, including trends, tools, research papers and more.
We want to hear from you! Send your thoughts on the year that was 2019 below in the comments, or via Twitter @samcharrington or @twimlai.
“Fairwashing” and the Folly of ML Solutionism with Zachary Lipton - TWIML Talk #285
Today we’re joined by Zachary Lipton, Assistant Professor in the Tepper School of Business. With a theme of data interpretation, Zachary’s research is focused on machine learning in healthcare, with the goal of assisting physicians through the diagnosis and treatment process. We discuss supervised learning in the medical field, robustness under distribution shifts, ethics in machine learning systems across industries, the concept of ‘fairwashing, and more.
Two Researchers Explain How Quants Are Going To Revolutionize Long-Term Investing
When we think of computer-driven or "quant" investing, we often think fast moves, algorithms making buy and sell orders at incredibly short timeframes. So in theory, the likes of great long-term investors, like Warren Buffett, should be safe from the robot revolution. But maybe not so fast! On this week's Odd Lots podcast, we speak to John Alberg of Euclidean Technologies and Zachary Lipton of Carnegie Mellon, about their new research on the next generation of quant investing. Alberg and Lipton explain a recent paper in which they used machine learning to forecast the future fundamentals of companies, and the opportunity that offers in terms of beating the market over the long term.
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