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

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 ...

Vision–language models can be trained to read cardiac ultrasound images with implications for improving clinical workflows, but additional development and validation will be required before such ...

Google researchers have published a preprint defining a new model family called Gemini Robotics 1.5, designed to give robots ...

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 ...

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.

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 ...

Microsoft announced a new version of its small language model, Phi-3, which can look at images and tell you what’s in them. Phi-3-vision is a multimodal model — aka it can read both text and images — ...

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 ...