SpatialBench is a new benchmark from ropedia_ai designed to evaluate spatial foundation models across 7 tasks and 5 datasets. It tests true 3D spatial understanding in areas like depth estimation, surface normal prediction, and 3D object detection.
PRISM-CTG is a clinically grounded self-supervised foundation model for Cardiotocography (CTG) analysis, designed to overcome limitations of narrowly curated labeled datasets. It leverages a multi-view self-supervised framework to learn transferable domain-level representations from large-scale unlabelled recordings.
A série Qwen3 Embedding, construída sobre o modelo fundamental Qwen3, é lançada para tarefas de embedding, recuperação e reranking de texto. Ela alcança desempenho de ponta em benchmarks, aproveitando capacidades multilíngues robustas e foi disponibilizada como código aberto sob a licença Apache 2.
This article provides a friendly introduction to Foundation Models applied in Computational Pathology. It explores how artificial intelligence can analyze microscope slides to extract valuable information.
