Neil C. Thompson

According to our database, Neil C. Thompson authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

The Rapid Growth of AI Foundation Model Usage in Science.

Ana Trisovic, Alex Fogelson, Janakan Sivaloganathan, Neil C. Thompson

CoRR, November, 2025

On the Origin of Algorithmic Progress in AI.

Hans Gundlach, Alex Fogelson, Jayson Lynch, Ana Trisovic, Jonathan Rosenfeld, Anmol Sandhu, Neil C. Thompson

CoRR, November, 2025

The Quantum Tortoise and the Classical Hare: When Will Quantum Computers Outpace Classical Ones and When Will They Be Left Behind?

Sukwoong Choi, William S. Moses, Neil C. Thompson

Proc. IEEE, February, 2025

Mapping the Impact of Foundation Models on the UN Sustainable Development Goals.

Janakan Sivaloganathan, Ana Trisovic, Neil C. Thompson

Proceedings of the IEEE International Conference on eScience, 2025

LLMs in Citation Intent Classification: Progress, Precision, and Reproducibility Challenges.

Alex Fogelson, Ana Trisovic, Neil C. Thompson

Proceedings of the 3rd ACM Conference on Reproducibility and Replicability, 2025

2024

User-Generated Content Shapes Judicial Reasoning: Evidence from a Randomized Control Trial on Wikipedia.

Neil C. Thompson, Xueyun Luo, Brian McKenzie, Edana Richardson, Brian Flanagan

Inf. Syst. Res., 2024

2023

The Quantum Tortoise and the Classical Hare: A simple framework for understanding which problems quantum computing will accelerate (and which it will not).

Sukwoong Choi, William S. Moses, Neil C. Thompson

CoRR, 2023

2022

The Importance of (Exponentially More) Computing Power.

Neil C. Thompson, Shuning Ge, Gabriel F. Manso

CoRR, 2022

Keynote Talk: Algorithm Improvement: How Fast Has It Been and How Much Farther Can It Go?

Neil C. Thompson

Proceedings of the SPAA '22: 34th ACM Symposium on Parallelism in Algorithms and Architectures, Philadelphia, PA, USA, July 11, 2022

2021

How Fast Do Algorithms Improve? [Point of View].

Yash Sherry, Neil C. Thompson

Proc. IEEE, 2021

The decline of computers as a general purpose technology.

Neil C. Thompson, Svenja Spanuth

Commun. ACM, 2021

2020

The Computational Limits of Deep Learning.

Neil C. Thompson, Kristjan H. Greenewald, Keeheon Lee, Gabriel F. Manso

CoRR, 2020