Vertebrate paleontology has a numbers problem. Computer vision can help

How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce ...
IEEE

AMVLM: Alignment-Multiplicity Aware Vision-Language Model for Semi-Supervised Medical Image Segmentation

Abstract: Low-quality pseudo labels pose a significant obstacle in semi-supervised medical image segmentation (SSMIS), impeding consistency learning on unlabeled data. Leveraging vision-language model ...
IEEE

A Dual-Path Self-Supervised Framework for Polyp Segmentation Using Vision Transformers and CNNs

Abstract: In the field of medical image analysis, accurate polyp segmentation remains a significant challenge due to the limited availability of labeled training data. This paper introduces a novel ...
marktechpost

NVIDIA AI releases C-RADIOv4 vision backbone unifying SigLIP2, DINOv3, SAM3 for classification, dense prediction, segmentation workloads at scale

How do you combine SigLIP2, DINOv3, and SAM3 into a single vision backbone without sacrificing dense or segmentation performance? NVIDIA’s C-RADIOv4 is a new agglomerative vision backbone that ...
Android Authority

I hacked my own computer using OpenClaw and it was terrifyingly easy

OpenClaw (formerly Clawdbot and Moltbot) is an agentic AI tool taking the tech sphere by storm. If you’ve missed it, it’s a gateway that plugs your tool-capable AI model of choice into a wide range of ...