K09 · bounded executable evidence infrastructure

ImageNet deep-learning breakthrough

Direct answer

The report treats the 2012 image-recognition breakthrough as an inflection point in deep learning.

Authority and disclosure boundary. K09 publishes static tools, synthetic fixtures, source-derived event records, signed offline imports, non-certifying traces, redacted procurement structures, and public/protected partition schemas. It does not perform live monitoring, reveal protected topology or credentials, decide awards, certify facilities, authorize operations, or prove factual truth from a signature.

Event proposition

The report treats the 2012 image-recognition breakthrough as an inflection point in deep learning.

Event provenance record
Event IDHIST-K09-011
Date or interval2012
StatusSOURCE ASSERTION
Source reportREP-K08-062 · history-machine-intelligence-futhorc.md
Exact source sectionDeep learning and hardware acceleration
Support relationshipSOURCE-DERIVED EVENT CLAIM; NOT INDEPENDENT PRIMARY-SOURCE VERIFICATION

Uncertainty

Exact date, priority, wording, and causal significance require primary-source and historiographic review.

Transliteration

mixed Runic and preserved Latin technical names

Mapping: K08-FUTHORC-CORPUS-INPUT
Review: NOT INDEPENDENTLY VALIDATED

Contradictions

  • Public narratives differ on which hardware, dataset, and architectural contribution was decisive.

Corrections

None recorded.

Chronology relationships

Predecessors: HIST-K09-010

Successors: HIST-K09-012