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China's AI Dream and the AI 'Arms Race'
From ACM Opinion

China's AI Dream and the AI 'Arms Race'

Stanford postdoctoral fellow discusses research exploring impact of AI in a possible U.S.-China power transition

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

RL Benchmarking, Climate Impacts of AI, and AI for Law
From ACM Opinion

RL Benchmarking, Climate Impacts of AI, and AI for Law

Stanford JD-PhD candidate Peter Henderson talks about creating robust decision-making systems and ML methods that benefit society

Strong AI Requires Autonomous Building of Composable Models
From ACM Opinion

Strong AI Requires Autonomous Building of Composable Models

Models built by AI must encode the fundamental patterns of experience

Meta Learning and Model-Based Reinforcement Learning
From ACM Opinion

Meta Learning and Model-Based Reinforcement Learning

Stanford professor Chelsea Finn talks about robotics and meta learning research

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.

The Imperative for Sustainable AI Systems
From ACM Opinion

The Imperative for Sustainable AI Systems

The impact of AI's massive carbon footprint is social, not just environmental

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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