Подписаться
Neil Thompson
Neil Thompson
Director, MIT FutureTech at Computer Science and A.I. Lab and the Initiative on the Digital Economy
Подтвержден адрес электронной почты в домене mit.edu - Главная страница
Название
Процитировано
Процитировано
Год
The Computational Limits of Deep Learning
NC Thompson, K Greenewald, K Lee, GF Manso
arxiv, https://arxiv.org/abs/2007.05558, 2020
8232020
There’s plenty of room at the Top: What will drive computer performance after Moore’s law?
CE Leiserson, NC Thompson, JS Emer, BC Kuszmaul, BW Lampson, ...
Science 368 (6495), eaam9744, 2020
5092020
Deep Learning's Diminishing Returns: The Cost of Improvement is Becoming Unsustainable
NC Thompson, K Greenewald, K Lee, GF Manso
IEEE Spectrum 58 (10), 50-55, 2021
1812021
How to measure and draw causal inferences with patent scope
JM Kuhn, NC Thompson
International Journal of the Economics of Business 26 (1), 5-38, 2019
150*2019
The growing influence of industry in AI research
N Ahmed, M Wahed, NC Thompson
Science 379 (6635), 884-886, 2023
1442023
The decline of computers as a general purpose technology
NC Thompson, S Spanuth
Communications of the ACM 64 (3), 64-72, 2021
116*2021
Science is shaped by wikipedia: Evidence from a randomized control trial
N Thompson, D Hanley
1082018
University licensing and the flow of scientific knowledge
NC Thompson, AA Ziedonis, DC Mowery
Research Policy 47 (6), 1060-1069, 2018
75*2018
Large Language Model Routing with Benchmark Datasets
T Shnitzer, A Ou, M Silva, K Soule, Y Sun, J Solomon, N Thompson, ...
arXiv preprint arXiv:2309.15789, 2023
462023
Does Winning a Patent Race lead to more follow-on Innovation?
NC Thompson, JM Kuhn
Journal of Legal Analysis 12, 183-220, 2020
412020
How Fast Do Algorithms Improve?
Y Sherry, NC Thompson
Proceedings of the IEEE, 2021
362021
The importance of (exponentially more) computing power
N Thompson, S Ge, G Filipe
Mimeo, 2020
362020
Beyond AI Exposure: Which Tasks are Cost-Effective to Automate with Computer Vision?
M Svanberg, W Li, M Fleming, B Goehring, N Thompson
Available at SSRN 4700751, 2024
352024
Why Innovation’s Future Isn’t (Just) Open
NC Thompson, D Bonnet, Y Ye
MIT Sloan Management Review 61 (Summer 2020), 55-60, 2020
282020
Gene synthesis allows biologists to source genes from farther away in the tree of life
AM Kunjapur, P Pfingstag, NC Thompson
Nature Communications 9 (1), 4425, 2018
282018
Economic impacts of AI-augmented R&D
T Besiroglu, N Emery-Xu, N Thompson
Research Policy 53 (7), 105037, 2024
252024
Algorithmic progress in language models
A Ho, T Besiroglu, E Erdil, D Owen, R Rahman, ZC Guo, D Atkinson, ...
arXiv preprint arXiv:2403.05812, 2024
242024
The ai risk repository: A comprehensive meta-review, database, and taxonomy of risks from artificial intelligence
P Slattery, AK Saeri, EAC Grundy, J Graham, M Noetel, R Uuk, J Dao, ...
arXiv preprint arXiv:2408.12622, 2024
232024
The Economic Impact of Moore's Law: Evidence from When it Faltered
N Thompson
Available at SSRN 2899115, 2017
202017
The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?
T Besiroglu, SA Bergerson, A Michael, L Heim, X Luo, N Thompson
arXiv preprint arXiv:2401.02452, 2024
192024
В данный момент система не может выполнить эту операцию. Повторите попытку позднее.
Статьи 1–20