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 ...

A generalized architectural blueprint for building efficient MLLMs. This template achieves efficiency through a combination of component choices and data flow optimization. Key strategies include: (1) ...

Want AI on your phone without cloud limits? Models like Llama 3.2, Qwen3, Gemma 3, and SmolLM2 run locally for private chats, coding, reasoning, and image tasks. Llama 3.2 is the best all-rounder, ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The entire AI landscape shifted back in January 2025 after a then ...

Baidu Inc., China's largest search engine company, released a new artificial intelligence model on Monday that its developers claim outperforms competitors from Google and OpenAI on several ...

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

Google (GOOG) (GOOGL) on Tuesday unveiled its multimodal Gemini Embedding 2 artificial intelligence model, the tech giant's newest model that maps text, images, video, audio, and documents into a ...

Open-source generative models are valuable for developers, researchers, and organizations wanting to leverage cutting-edge AI technology without incurring high licensing fees or restrictive commercial ...

Microsoft Corp. today released a hardware-efficient reasoning model, Phi-4-reasoning-vision-15B, that can process multimodal files such as scientific charts. The model is based on two existing ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Improving survival predictions (such as overall survival [OS] and progression-free survival) in cancer patients is a crucial step in the effort to achieve biological insights and assist clinicians in ...

In existing breast cancer prediction research, most models rely solely on a single type of imaging data, which limits their performance. To overcome this limitation, the present study explores breast ...