Thompson, Neil C.

The Computational Limits of Deep Learning

Thompson, N. C., Greenewald, K., Lee, K., & Manso, G. F. (2020) · arXiv

Advanced Neural Network ApplicationsArtificial Intelligence Applications

Cited by 538

The growing influence of industry in AI research

Ahmed, N., Wahed, M., & Thompson, N. C. (2023) · Science

Artificial Intelligence ApplicationsResearch, Science, and Academia

Cited by 208

Deep Learning's Diminishing Returns: The Cost of Improvement is Becoming Unsustainable

Thompson, N. C., Greenewald, K., Lee, K., & Manso, G. F. (2021) · IEEE Spectrum

Neural Networks and ApplicationsArtificial Intelligence Applications

Cited by 139

The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence

Slattery, P., Saeri, A. K., Grundy, E. A. C., Graham, J., Noetel, M., Uuk, R., Dao, J., Pour, S., Casper, S., & Thompson, N. (2024) · arXiv

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 51

Algorithmic progress in language models

Ho, A., Besiroglu, T., Erdil, E., Owen, D., Rahman, R., Guo, Z. C., Atkinson, D., Thompson, N., & Sevilla, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 16