We are an interdisciplinary group that studies the foundations of progress in computing: what are the most important trends, how do they underpin economic prosperity, and how can we harness them to sustain and promote productivity growth.

Latest news & insights

What drives progress in AI? Trends in Data

In this article, we provide a high level overview of a key trend in AI models; that AI models’ data requirements may be growing faster than the supply of suitable data. We then explore some implications.‍

March 19, 2024

DRUID Conference: Debating AI's Impact on Knowledge-Intensive Industries

This summer, the DRUID conference in Nice, France, from June 13 to 15, will host a debate on the impact of AI development on knowledge-intensive industries, focusing on the potential for significant deskilling.

February 28, 2024

Beyond AI Exposure: Which Tasks are Cost-Effective to Automate with Computer Vision?

Neil Thompson along with Maja S. Svanberg and Wensu Li from the MIT FutureTech, Martin Fleming from The Productivity Institute, and Brian C. Goehring from IBM's Institute for Business Value, have published new article

January 22, 2024

Featured Research

Machine Learning and Algorithms

Beyond AI Exposure: Which Tasks are Cost-Effective to Automate with Computer Vision?

January 2024

Maja S. Svanberg, Wensu Li, Martin Fleming, Brian C. Goehring, Neil C. Thompson

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Machine Learning and Algorithms

How Fast do Algorithms Improve?

Proceedings of the IEEE

September 2021

Yash Sherry, Neil Thompson

Moore’s Law and Computer Performance

The Decline of Computers as a General Purpose Technology

Communications of the ACM

March 2021

Neil Thompson, Svenja Spanuth