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datePast Year
subjectComputer Applications
authorThe Gradient
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Teaching Robots to Help People in Their Everyday Lives
From ACM Opinion

Teaching Robots to Help People in Their Everyday Lives

An interview with Max Braun of Everyday Robots.

Lessons From Deploying Deep Learning to Production
From ACM Opinion

Lessons From Deploying Deep Learning to Production

Peter Gao, an early engineer at Cruise, reflects on his experience deploying deep-learning models into production.

The Missing Voices in Natural Language Processing
From ACM Opinion

The Missing Voices in Natural Language Processing

Who and what is being represented in the data and development of NLP models?

Connecting Large Language Models to Human Values
From ACM Opinion

Connecting Large Language Models to Human Values

AI researcher Connor Leahy talks about replicating GPT-2/GPT-3, superhuman AI, AI alignment, AI risk and research norms, and more

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

Self-Supervised Learning and Large Language Models
From ACM Opinion

Self-Supervised Learning and Large Language Models

Stanford PhD student discusses recent research on understanding, building, and controlling pre-trained models

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.
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