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Group Prompting introduces a training-free framework for cell instance segmentation that requires only one click per cell type, using the Segment Anything Model's feature space to recursively expand prompts, achieving competitive performance without training.
Porting SAM 2.1 models to Apple silicon with MLX, achieving 1.25x inference speed increase on the small model, with quantized versions planned.
Researchers at the University of Pennsylvania are using AI models like DINO and SAM to automate and modernize medical triage in emergency response.