Nature

Benchmarking vision-language models for diagnostics in emergency and critical care settings

The applicability of vision-language models (VLMs) for acute care in emergency and intensive care units remains underexplored. Using a multimodal dataset of diagnostic questions involving medical ...
Semiconductor Engineering

Refining Vision-Language Models For Lithography Defect Detection

“Semiconductor lithography inspection requires reliable detection of small pattern defects such as bridge, burr, pinch, and contamination. In this study, we propose a two-stage vision-language ...
Geeky Gadgets

Inside Llama 3.2’s Vision Architecture: Bridging Language and Image Understanding

Meta’s Llama 3.2 has been developed to redefined how large language models (LLMs) interact with visual data. By introducing a groundbreaking architecture that seamlessly integrates image understanding ...
Nature

Understanding the robustness of vision-language models to medical image artefacts

Vision-language models (VLMs) show promise for answering clinically relevant questions, but their robustness to medical image artefacts remains unclear. We evaluated VLMs’ robustness through their ...
Geeky Gadgets

Locally run AI vision with Moondream tiny vision language model

If you would like the ability to run AI vision applications on your home computer you might be interested in a new language model called Moondream. Capable of processing what you say, what you write, ...