Multimodal models and world models are emerging as promising frameworks for extending language-based AI beyond text, towards ...

Multimodal large language models have revolutionized AI research and industry, paving the way toward the next milestone. However, their large sizes and high computational costs restrict deployment to ...

The volume of patient-specific data in oncology is rapidly expanding. This is due to the widespread introduction of electronic health records (EHRs), advances in medical imaging, and the integration ...

The most capable open source AI model with visual abilities yet could see more developers, researchers, and startups develop AI agents that can carry out useful chores on your computers for you.

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now As competition in the generative AI field ...

French AI startup Mistral has released its first model that can process images as well as text. Called Pixtral 12B, the 12-billion-parameter model is about 24GB in size. Parameters roughly correspond ...

SENSETIME-W (00020.HK) has officially rolled out its new-generation lightweight multimodal agent model, "SenseNova 6.7 ...

Kling AI, an AI-powered creative platform, is rolling out a suite of generative AI models designed to streamline how visual and audio content are made, a move that underscores the company's efforts to ...

A surge in related works is happening on a daily basis. More recent works can be found on the GitHub page (https://github.com/BradyFU/Awesome-Multimodal-Large ...

SAN ANTONIO – A machine learning (ML) model incorporating both clinical and genomic factors outperformed models based solely on either clinical or genomic data in predicting which patients with ...

OpenAI’s GPT-4V is being hailed as the next big thing in AI: a “multimodal” model that can understand both text and images. This has obvious utility, which is why a pair of open source projects have ...

Transport networks face escalating compound disruptions — accidents, extreme weather, and infrastructure failures — that ...