Images are now parsed like language. OCR, visual context and pixel-level quality shape how AI systems interpret and surface content.

Abstract: Vision-language pre-training models have demonstrated outstanding performance on a wide range of multimodal tasks. Nevertheless, they remain susceptible to multimodal adversarial examples.

1 Department of Information Technology, Uppsala University, Uppsala, Sweden 2 Department of Women and Children’s Health, Uppsala University, Uppsala, Sweden Introduction: As social robots gain ...

ABSTRACT: Recent scholarship points to the importance of multimodal media in learning environments, such as instructive How-To articles. This article examines how GIFs present in the YouTube Help ...

Nomic has announced the release of “Nomic Embed Multimodal,” a groundbreaking embedding model that achieves state-of-the-art performance on visual document retrieval tasks. The new model seamlessly ...

If there’s one universally enjoyable experience, it’s receiving a good morning text from someone special in your life. But crafting the right good morning text isn’t always quick and easy. If you’re ...

Microsoft has introduced a new AI model that, it says, can process speech, vision, and text locally on-device using less compute capacity than previous models. Innovation in generative artificial ...