A 2026 technical overview of image segmentation models: semantic, instance, and panoptic segmentation, U-Net to SAM 2, with a comparison and applications.
DNA language models explained for 2026: how genomic foundation models like Evo learn the language of the genome, the architecture, training data, and limits.
A comparative analysis of state-of-the-art object detection models, updated for 2026: YOLO11/12, RT-DETR, transformer detectors, accuracy, latency, and trade-offs.