Scoping review finds large language models can support glaucoma education and decision support, but accuracy and multimodal ...

Vision language models (VLMs) have made impressive strides over the past year, but can they handle real-world enterprise challenges? All signs point to yes, with one caveat: They still need maturing ...

In recent years, foundation Vision-Language Models (VLMs), such as CLIP [1], which empower zero-shot transfer to a wide variety of domains without fine-tuning, have led to a significant shift in ...

MIT researchers discovered that vision-language models often fail to understand negation, ignoring words like “not” or “without.” This flaw can flip diagnoses or decisions, with models sometimes ...

Crucially, these tests are generated by custom code and don’t rely on pre-existing images or tests that could be found on the public Internet, thereby “minimiz[ing] the chance that VLMs can solve by ...

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 ...

Family of tunable vision-language models based on Gemma 2 generate long captions for images that describe actions, emotions, and narratives of the scene. Google has introduced a new family of ...

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 ...

MCLEAN, Va. & MENLO PARK, Calif.--(BUSINESS WIRE)--Booz Allen Hamilton (NYSE: BAH) and Meta today announced the development and successful demonstration of a novel AI-powered tech stack, accelerated ...