AI models
Cancer drug mechanism prediction
Training compute
5.3×10⁷ FLOP
Parameters
594
Published
Oct 16, 1992
Cancer drug mechanism prediction is an AI model developed by National Cancer Institute (United States), first published in October 1992. It works in the medicine domain, on tasks such as drug discovery.
Training it took an estimated 5.3×10⁷ FLOP of compute (estimation method: operation counting). The model has 594 parameters. It was trained on roughly 141 datapoints.
Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- National Cancer Institute
- Country of organization
- United States
- Domain
- Medicine
- Task
- Drug discovery
- Training compute
- 5.3×10⁷ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 594
- Dataset size
- 141
- Epoch confidence
- Likely
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.
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