Microsoft Research· Naoto Usuyama, Jeya Maria Jose Valanarasu, Tristan Naumann·· 2026-09-01
GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models
GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models
AI summary
Microsoft Research introduced GigaPath-Flash and GigaTIME-Flash, greatly reducing pathology compute requirements with a 22M-parameter ViT-S backbone distilled from the billion-parameter GigaPath encoder, open-source under Apache 2.0.
Selection record
Threshold 60Official, first-handFirst 42Second 38
Not admittedSum of both 80 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：病理基础模型及蒸馏技术，实质AI
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: Microsoft Research · microsoft.com