AI models
DualNetGO
Parameters
82M
Published
Jul 3, 2024
DualNetGO is an AI model developed by Hong Kong University of Science and Technology (HKUST) (Hong Kong), first published in July 2024. It works in the biology domain, on tasks such as protein function prediction.
Epoch AI has no training-compute estimate for this model. The model has 82,000,000 parameters. Training ran on 1 NVIDIA GeForce RTX 3090.
Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Hong Kong University of Science and Technology (HKUST)
- Country of organization
- Hong Kong
- Domain
- Biology
- Task
- Protein function prediction
- Parameters
- 82,000,000
- Training hardware
- NVIDIA GeForce RTX 3090
- Chips used
- 1
- Training power draw
- 380 W
- Citations
- 0
- 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.
← All ai models