Computer scientists develop a new AI tool that rivals AlphaFold 3 in mapping RNA

The same family of artificial intelligence that powers today's image generators is now being aimed at one of biology's ...
IEEE

Harnessing Text Insights With Visual Alignment for Medical Image Segmentation

Abstract: Pre-trained vision-language models (VLMs) and language models (LMs) have recently garnered significant attention due to their remarkable ability to represent textual concepts, opening up new ...
GitHub

Vision Foundation Models as Effective Visual Tokenizers for Autoregressive Generation

This is a PyTorch/GPU implementation of the paper Vision Foundation Models as Effective Visual Tokenizers for Autoregressive Generation, which directly utilizes the features from the frozen ...
IEEE

Med-VLM: Enhancing Medical Image Segmentation Accuracy Through Vision-Language Model

Abstract: We proposed Med-VLM (Medical Vision-language Model), an innovative approach that leverages textual descriptions of organs to enhance segmentation accuracy in medical images. Existing medical ...
eWeek

Enterprise Computer Vision at Scale: Dell’s Jason Nassar on Edge AI, Real-Time Inference, and AI Factory Infrastructure

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...