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Articles Interviews Vardi's Insights Chien's Vantage Opinion Archive Refine your search:
dateMore Than a Year Ago
subjectPerformance And Reliability
authorThe Gradient
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Yael Tauman Kalai of Microsoft Research and MIT
Verifying Correctness
From Communications of the ACM

Yael Tauman Kalai on her career, proof systems, and certifying correctness.

Leah Hoffmann | March 1, 2024
Open-Endedness and Evolution through Large Models
From ACM Opinion

Open-Endedness and Evolution through Large Models

A conversation with Joel Lehman, machine-learning scientist formerly of OpenAI and Uber AI Labs. The Gradient
From ACM Opinion | September 23, 2022
Linguistics and the Development of NLP
From ACM Opinion

Linguistics and the Development of NLP

An interview with Christopher Manning, director of the Stanford University AI Lab and an associate director of Stanford's Human-Centered Artificial Intelligence... The Gradient
From ACM Opinion | September 9, 2022
Machine-Learning Robustness, Foundation Models, and Reproducibility
From ACM Opinion

Machine-Learning Robustness, Foundation Models, and Reproducibility

An interview with Percy Liang, associate professor of Computer Science at Stanford University The Gradient
From ACM Opinion | January 31, 2022
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