All Work Published on Machine Learning
Stanford researchers propose a framework for regulating diagnostic algorithms that will ensure world-class clinical performance and build trust among clinicians and patients.
Stanford researchers propose a framework for regulating diagnostic algorithms that will ensure world-class clinical performance and build trust among clinicians and patients.
New approaches favoring unspoken strategies between collaborating machines could drive the next wave of advances in robotics.
New approaches favoring unspoken strategies between collaborating machines could drive the next wave of advances in robotics.
How Zillow, Census Data, and Machine Learning Could Improve Our Water Use
Stanford researchers develop a new approach to help cities better understand water use and design water-efficient communities.
Stanford researchers develop a new approach to help cities better understand water use and design water-efficient communities.
Daphne Koller, a veteran of AI, explains why she left academia for a chance to change the pharmaceutical industry.
Daphne Koller, a veteran of AI, explains why she left academia for a chance to change the pharmaceutical industry.
Researchers discuss possible ways to regulate, improve this highly contentious technology during a HAI workshop.
Researchers discuss possible ways to regulate, improve this highly contentious technology during a HAI workshop.
When Algorithmic Fairness Fixes Fail: The Case for Keeping Humans in the Loop
Attempts to fix clinical prediction algorithms to make them fair also make them less accurate.
Attempts to fix clinical prediction algorithms to make them fair also make them less accurate.
