gigatime-flash-120fdea7·1 events·first seen Aliases: GigaTIME-Flash
Microsoft Research introduces GigaPath-Flash and GigaTIME-Flash, compact pathology foundation models that retain 97% of the billion-parameter GigaPath's slide-level performance at 50x lower compute via knowledge distillation into a 22M-parameter ViT-S tile encoder. GigaTIME-Flash extends the backbone to predict tumor immune microenvironment from H&E images, outperforming the original CNN-based GigaTIME while running 6x faster and using 8x less GPU memory. Both models are released as open weights under Apache 2.0, addressing key barriers of compute cost and licensing that have limited clinical deployment of pathology AI.