Machine Learning for Equitable Healthcare Out...

As reasoning models consume more tokens and AI systems become more expensive to run, understanding what those tokens actually buy is becoming increasingly important. In this episode, Stanford professor and Big Spin co-founder Chris Potts joins us to discuss AI tokenomics and his ...  Afficher plus

In this episode, Justin Johnson, co-founder of World Labs, joins us to discuss world models and the emerging field of spatial AI. We explore why many researchers see capabilities beyond language as an important frontier for AI, and what it means to build models that can understan ...  Afficher plus

Ayodele Odubela joins us to discuss fairness in AI and how we can work towards a more equitable and transparent world of data science and machine learning. In this episode you will learn: Comet ML [3:22] What is a data science evangelist? [7:08] FullyConnected [12:04] Impost ...  Afficher plus

Dr. Marzyeh Ghassemi has been at the forefront of medical machine learning for several years. In this episode, she describes her group’s work and her perspectives on developing and applying machine learning to und ...

Today's guest is Jane Chen, Director of Commercial Analytics for Women's Cancer at Novartis. Jane joins us on the program today to highlight challenges in identifying and segmenting specific patient groups, particularly those with rare or niched diseases. Throughout the episod ...

In Young Cho thought she was going to be a doctor but fell into a trading internship at Jane Street. Now she helps lead the research group’s efforts in machine learning. In this episode, In Young and Ron touch on the porous boundaries between trading, research, and software engin ...  Afficher plus