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 ...

In April, for the first time ever, an Earth observation satellite found what it was looking for, all on its own.

Imagine pointing your phone's camera at the world, asking it to identify the dark green plant leaves, and asking if it's poisonous for dogs. Likewise, you're working on a computer, pull up the AI, and ...

We aimed to establish a robust vision-language model (“Glio-LLaMA-Vision”) for molecular status prediction and radiology report generation (RRG) in adult-type diffuse gliomas. Multiparametric MRI data ...

Hugging Face Inc. today open-sourced SmolVLM-256M, a new vision language model with the lowest parameter count in its category. The algorithm’s small footprint allows it to run on devices such as ...

Foundation models have made great advances in robotics, enabling the creation of vision-language-action (VLA) models that generalize to objects, scenes, and tasks beyond their training data. However, ...

Canadian AI startup Cohere launched in 2019 specifically targeting the enterprise, but independent research has shown it has so far struggled to gain much of a market share among third-party ...

The AI model type capturing the most attention across robotics and autonomous vehicles right now is the vision-language-action model, or VLA. At embedded AI conferences this year, particularly the ...

Imagine a world where your devices not only see but truly understand what they’re looking at—whether it’s reading a document, tracking where someone’s gaze lands, or answering questions about a video.

Los Alamos researchers developed PAS, a real-time tool that helps detect false image claims in machine vision models.

“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 ...