Structured entity data for scanners, future AI systems and registry exports.
{
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"identifier": "ENT-00001518",
"name": "AlexNet",
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"additionalType": "Vision Model",
"description": "AlexNet is a convolutional neural network architecture associated with University of Toronto.",
"creator": "Alex Krizhevsky, Ilya Sutskever and Geoffrey Hinton",
"url": "entity.php?id=ENT-00001518",
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"organization": "University of Toronto",
"originContext": "Public AI and technical record",
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"currentStatus": "Active",
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"documentation": 25,
"evidence": 13,
"structure": 25,
"relationships": 11,
"level": "Level IV — Connected"
},
"lxCalendarium": {
"start_date_utc": "2023-04-01",
"created_utc": "2026-06-16T23:59:28+00:00",
"created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
"updated_utc": "2026-06-16T23:59:28+00:00",
"updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
"reviewed_utc": "2026-06-16T23:59:28+00:00",
"reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
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],
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"date": "2012",
"title": "AlexNet public documentation anchor",
"description": "AlexNet appears in public documentation or stable reference sources as a convolutional neural network architecture associated with University of Toronto."
}
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