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 ...
Background/aims Ocular surface infections remain a major cause of visual loss worldwide, yet diagnosis often relies on slow ...
LG AI Research today announced the release of EXAONE 4.5, its latest multimodal AI model capable of simultaneously understanding and reasoning across both text and images.
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 ...
Muse Spark powers a smarter and faster Meta AI assistant, and will be rolling out to WhatsApp, Instagram, Facebook, Messenger ...
In the study titled MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer, a team of nearly 30 Apple researchers details a novel unified approach that enables both ...
Transformer-based models have rapidly spread from text to speech, vision, and other modalities. This has created challenges for the development of Neural Processing Units (NPUs). NPUs must now ...
Meta has launched Muse Spark, a new multimodal AI model aimed at building personal superintelligence. It supports advanced reasoning, multi-agent workflows, and shows strong benchmark performance ...
GLM-5V-Turbo is Z.ai's first native multimodal agent foundation model, built for vision-based coding and agentic task ...
Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...
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