AI models
SmooCT
Training compute
6.9×10¹⁶ FLOP
Published
Jul 1, 2014
SmooCT is an AI model developed by University College London (UCL) (United Kingdom), first published in July 2014. It works in the games domain, on tasks such as poker.
Training it took an estimated 6.9×10¹⁶ FLOP of compute (estimation method: hardware).
The reference paper has 16 citations. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- University College London (UCL)
- Country of organization
- United Kingdom
- Domain
- Games
- Task
- Poker
- Training compute
- 6.9×10¹⁶ FLOP
- Compute estimation method
- Hardware
- Training time
- 48 h
- Citations
- 16
- Epoch confidence
- Likely
More from University College London (UCL)
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
← All ai models