Pattern recognition and reading by machine

Closed weights Sandia Corporation 2.6K parameters December 1959

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

A two bit state is recorded for each of the 75 cell pairs and each of the 25+10 characters recognized.

Training data
180 tokens

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

01

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.

02

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.

03

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.

04

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.

05

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.

06

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.

Source

Original publication

Record last updated 28 November 2025

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