Benjamin Franklin once wrote that nothing is certain except death and taxes. Let me amend that phrase to reflect the current AI gold rush: Nothing is certain except death, taxes, and new AI models, ...

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 ...

Google has expanded its Gemini models, adding general availability for 2.5 Flash and Pro, and bringing custom versions into Search. It has also introduced 2.5 Flash-Lite. And while Google is churning ...

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) ...

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

Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models (VLMs) optimized for multimodal reasoning, frontend automation, and ...

Missing data is a persistent problem in biomedical research. Data-imputation techniques have evolved from single-modality approaches to multimodal strategies, which impute one modality on the basis of ...

H2O.ai Inc. on Thursday introduced two small language models, Mississippi 2B and Mississippi 0.8B, that are optimized for multimodal tasks such as extracting text from scanned documents. The models ...

Current evaluations of Large Language Models (LLMs) in medicine primarily focus on text-based benchmarks, leaving their multimodal diagnostic capabilities in complex, real-world clinical scenarios ...

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 ...

Cambridge, MA — In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its ...