Print Recognition Logic

Training compute

2.3×10⁷ FLOP

Published

Jan 1, 1963

Print Recognition Logic is an AI model developed by IBM (United States), first published in January 1963. It works in the vision domain, on tasks such as character recognition (ocr). It counts among the frontier models: the systems trained with the most compute of their moment.

Training it took an estimated 2.3×10⁷ FLOP of compute (estimation method: hardware).

Epoch AI rates the confidence of this record as speculative.

Full record

Organization: IBM
Country of organization: United States
Domain: Vision
Task: Character recognition (OCR)
Training compute: 2.3×10⁷ FLOP
Compute estimation method: Hardware
Training time: 3 h
Epoch confidence: Speculative