Pattern recognition and reading by machine
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- Sandia Corporation
- Organisation type
- Industry
- Country
- United States of America
- Published
- 1 December 1959
- Authors
- W. W. Bledsoe, I. Browning
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Vision
- Task
- Character recognition (OCR)
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Parameters
- 2.6K
- Training data
- 180 tokens
A two bit state is recorded for each of the 75 cell pairs and each of the 25+10 characters recognized.
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Why it is tracked
- Historical significance
- Citations
- 587
Sources
Where this record came from and when it was last checked.
- Reference
- Pattern recognition and reading by machine
- Last updated
- 28 November 2025
What the numbers mean
What this model is
Pattern recognition and reading by machine was published by Sandia Corporation, in United States of America, in December 1959. It comes out of industry.
It works in Vision, and is recorded as doing character recognition (OCR).
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
What went into building it
The training set ran to roughly 180 tokens.
Its inclusion criterion is historical significance.
Answers
Pattern recognition and reading by machine — common questions
Is Pattern recognition and reading by machine open source?
The licensing for Pattern recognition and reading by machine was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
How many parameters does Pattern recognition and reading by machine have?
Pattern recognition and reading by machine has 2.6K parameters. A two bit state is recorded for each of the 75 cell pairs and each of the 25+10 characters recognized. That figure is the total, and it is what decides how much memory the model needs — roughly half a gigabyte per billion at the compression most people use.
Who created Pattern recognition and reading by machine?
Pattern recognition and reading by machine was published by Sandia Corporation, based in United States of America, categorised as industry.
When was Pattern recognition and reading by machine released?
Pattern recognition and reading by machine was published in December 1959. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
What is Pattern recognition and reading by machine used for?
Pattern recognition and reading by machine works in Vision, and is recorded as handling character recognition (OCR). These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run Pattern recognition and reading by machine?
None. Pattern recognition and reading by machine is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.