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datePast Year
subjectInformation Systems
authorThe Gradient
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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

Robot Learning at Google and Generalization via Language
From ACM Opinion

Robot Learning at Google and Generalization via Language

Google Robotics research scientist Eric Jang talks about robotic manipulation and self-supervised robotic learning

Yann LeCun Talks Research Beginnings and Recent Developments
From ACM Opinion

Yann LeCun Talks Research Beginnings and Recent Developments

Deep-learning pioneer discusses early days in image-processing and developments in self-supervised learning for computer vision

Who's Building the Foundation Models of the Future?
From ACM Opinion

Who's Building the Foundation Models of the Future?

Curation, auditing, and evaluation of so-called 'foundation models' should not be left to the tech industry.

Machine Learning Won't Solve Natural Language Understanding
From ACM Opinion

Machine Learning Won't Solve Natural Language Understanding

Data-driven approaches to NLU are psychologically, cognitively, and computationally implausible.
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