AI models
GearNet
Published
Nov 1, 2022
GearNet is an AI model developed by Mila - Quebec AI (originally Montreal Institute for Learning Algorithms), University of Montreal / Université de Montréal, University of Cambridge, IBM Research, HEC Montreal and CIFAR AI Research (Canada, United Kingdom and United States), first published in November 2022. It works in the biology domain, on tasks such as proteins, protein function prediction and protein fold classification.
Epoch AI has no training-compute estimate for this model. It was trained on roughly 805K datapoints. Training ran on 4 NVIDIA A100.
The reference paper has 312 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Mila - Quebec AI (originally Montreal Institute for Learning Algorithms), University of Montreal / Université de Montréal, University of Cambridge, IBM Research, HEC Montreal, CIFAR AI Research
- Country of organization
- Canada, United Kingdom, United States
- Domain
- Biology
- Task
- Proteins, Protein function prediction, Protein fold classification
- Dataset size
- 805K
- Training hardware
- NVIDIA A100
- Chips used
- 4
- Training power draw
- 3.2 kW
- Citations
- 312
- 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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