AI models
Hierarchical Cognitron
Parameters
9.3K
Published
Apr 1, 1984
Hierarchical Cognitron is an AI model developed by NHK Broadcasting Science Research Laboratories (Japan), first published in April 1984. It works in the other domain, on tasks such as pattern recognition.
Epoch AI has no training-compute estimate for this model. The model has 9,315 parameters. It was trained on roughly 5 datapoints.
Epoch AI rates the confidence of this record as speculative.
Full record
- Organization
- NHK Broadcasting Science Research Laboratories
- Country of organization
- Japan
- Domain
- Other
- Task
- Pattern recognition
- Parameters
- 9,315
- Dataset size
- 5
- Epoch confidence
- Speculative
More from NHK Broadcasting Science Research Laboratories
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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