Overview:  Multimodal AI is changing how machines process information by combining text, images, audio, video, and sensor ...

Google has released the Gemma 4 12B multimodal agentic AI model that's designed to run on consumer laptops without dedicated ...

Molecular subtyping of gliomas is a common clinical task, yet challenging to perform on histology or radiology images alone. To address this challenge, we developed a multimodal classification ...

Pulmonary embolism (PE) is a common, life threatening cardiovascular emergency. Risk stratification is one of the core principles of acute PE management and determines the choice of diagnostic and ...

Asking multimodal large language models (LLMs) to reason step by step before answering improved both their accuracy and the ...

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

The AI industry has long been dominated by text-based large language models (LLMs), but the future lies beyond the written word. Multimodal AI represents the next major wave in artificial intelligence ...

See how Northwestern Medicine is using on-premises AI, GenAI radiology, and digital twin technology to support more proactive ...

Artificial intelligence data annotation startup Encord, officially known as Cord Technologies Inc., wants to break down barriers to training multimodal AI models. To do that, it has just released what ...

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