Radar > Topics

AI & ML

Few technologies have the potential to change the nature of work and how we live as artificial intelligence (AI) and machine learning (ML).

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Fireside chat with Marc Warner and Louis Barson

By Marc Warner, Louis Barson | October 11, 2018

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Deep learning at scale: A field manual

By Jason Knight | October 11, 2018

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The missing piece

By Cassie Kozyrkov | October 11, 2018

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Notes from the frontier: Making AI work

By Michael Chui | October 11, 2018

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How social science research can inform the design of AI systems

By Ben Lorica | October 11, 2018
How social science research can inform the design of AI systems
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Highlights from the Artificial Intelligence Conference in London 2018

By Mac Slocum | October 10, 2018

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AI in production: The droids you’re looking for

By Jonathan Ballon | October 10, 2018

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The state of automation technologies

By Ben Lorica, Roger Chen | October 10, 2018

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Why we built a self-writing Wikipedia

By Amy Heineike | October 10, 2018

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AI for a better world

By Ashok Srivastava | October 10, 2018

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Rethinking software engineering in the AI era

By Yangqing Jia | October 10, 2018

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What we learn from AI’s biases

By Mike Loukides | October 9, 2018

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ML on code: Machine learning will change programming

By Francesc Campoy Flores | October 2, 2018

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Why it’s hard to design fair machine learning models

By Ben Lorica | September 27, 2018
Why it’s hard to design fair machine learning models
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Practical ML today and tomorrow

By Hilary Mason | September 13, 2018

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Black box: How AI will amplify the best and worst of humanity

By Jacob Ward | September 13, 2018