Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
Skip to content
  • About

    • About
    • People
    • Get Involved with HAI
    • Support HAI
    • Subscribe to Email
  • Research

    • Research
    • Fellowship Programs
    • Grants
    • Student Affinity Groups
    • Centers & Labs
    • Research Publications
    • Research Partners
  • Education

    • Education
    • Executive and Professional Education
    • Government and Policymakers
    • K-12
    • Stanford Students
  • Policy

    • Policy
    • Policy Publications
    • Policymaker Education
    • Student Opportunities
  • AI Index

    • AI Index
    • AI Index Report
    • Global Vibrancy Tool
    • People
  • News
  • Events
  • Industry
  • Centers & Labs
Navigate
  • About
  • Events
  • AI Glossary
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us

Stay Up To Date

Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.

Sign Up For Latest News

Back to Machine Learning

All Work Published on Machine Learning

Nigam Shah: Artificial intelligence transforms health care
the ​Stanford Engineering Staff
Jan 08, 2019
News
Your browser does not support the video tag.

Data analytics is revolutionizing health care — quietly, pervasively and in some surprising ways.

Nigam Shah: Artificial intelligence transforms health care

the ​Stanford Engineering Staff
Jan 08, 2019

Data analytics is revolutionizing health care — quietly, pervasively and in some surprising ways.

Healthcare
Machine Learning
Your browser does not support the video tag.
News
Is language the ultimate frontier of AI research?
Sofie Bates
Jan 06, 2019
News
Your browser does not support the video tag.

It’s as rich as human thought and as a result is particularly difficult for AI to learn.

Is language the ultimate frontier of AI research?

Sofie Bates
Jan 06, 2019

It’s as rich as human thought and as a result is particularly difficult for AI to learn.

Healthcare
Machine Learning
Your browser does not support the video tag.
News
​Who is winning the artificial intelligence race?
Bill Snyder
Jan 06, 2019
News
Your browser does not support the video tag.

In a recent talk at Stanford, Kai-Fu Lee says China has taken the lead. Lee is a venture capitalist and author of “AI Superpowers: China, Silicon Valley and the New World Order.”

​Who is winning the artificial intelligence race?

Bill Snyder
Jan 06, 2019

In a recent talk at Stanford, Kai-Fu Lee says China has taken the lead. Lee is a venture capitalist and author of “AI Superpowers: China, Silicon Valley and the New World Order.”

Machine Learning
Your browser does not support the video tag.
News
Can AI Really Improve Care?
the Stanford Department of Medicine
Dec 31, 2018
News
Your browser does not support the video tag.

Can AI Really Improve Care?

the Stanford Department of Medicine
Dec 31, 2018
Healthcare
Machine Learning
Your browser does not support the video tag.
News
​An electronic glove gives robots a sense of touch
Tom Abate
Nov 20, 2018
News
Your browser does not support the video tag.

With sensors that mimic human skin, the robotic hands achieve some of the manual dexterity that humans enjoy.

​An electronic glove gives robots a sense of touch

Tom Abate
Nov 20, 2018

With sensors that mimic human skin, the robotic hands achieve some of the manual dexterity that humans enjoy.

Machine Learning
Your browser does not support the video tag.
News
AI can be sexist and racist — it’s time to make it fair
James Zou and Londa Schiebinger
Jul 17, 2018
News
Your browser does not support the video tag.

Computer scientists must identify sources of bias, de-bias training data and develop artificial-intelligence algorithms that are robust to skews in the data, argue James Zou and Londa Schiebinger in Nature.

AI can be sexist and racist — it’s time to make it fair

James Zou and Londa Schiebinger
Jul 17, 2018

Computer scientists must identify sources of bias, de-bias training data and develop artificial-intelligence algorithms that are robust to skews in the data, argue James Zou and Londa Schiebinger in Nature.

Arts, Humanities
Machine Learning
Your browser does not support the video tag.
News
42
43
44
45
46