AI models
Improved motif-scaffolding with SE(3) flow matching
Training compute
1.6×10¹⁹ FLOP
Parameters
16.8M
Published
Jan 8, 2024
Improved motif-scaffolding with SE(3) flow matching is an AI model developed by University of Oxford, Massachusetts Institute of Technology (MIT) and Microsoft Research AI for Science (United Kingdom and United States), first published in January 2024. It works in the biology domain, on tasks such as protein design.
Training it took an estimated 1.6×10¹⁹ FLOP of compute (estimation method: hardware). The model has 16,800,000 parameters. Training ran on 2 NVIDIA RTX A6000 for about 144 hours.
Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- University of Oxford, Massachusetts Institute of Technology (MIT), Microsoft Research AI for Science
- Country of organization
- United Kingdom, United States
- Domain
- Biology
- Task
- Protein design
- Training compute
- 1.6×10¹⁹ FLOP
- Compute estimation method
- Hardware
- Parameters
- 16,800,000
- Training hardware
- NVIDIA RTX A6000
- Chips used
- 2
- Training time
- 144 h
- Training power draw
- 1.2 kW
- Epoch confidence
- Confident
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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