DeepSeek V4 ships native multimodal input with lower latency, plus support for Blackwell SM100 and FP4 compute scaling.

The company mainly trained Phi-4-reasoning-vision-15B on open-source data. The data included images and text-based descriptions of the objects depicted in those images. Before it started training the ...

The next phase of AI, already underway, will integrate text with vision, sound, motion and even touch. This will produce systems that no longer 'read about' the world but perceive it.

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

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 output. Concept ...

Google's head of Search described how multimodal LLMs help Google understand audio and video, and discussed a direction for ...

Ten AI concepts to know in 2026, including LLM tokens, context windows, agents, RAG, and MCP, for building reliable AI apps.

Alibaba Group Holding Ltd. today released an artificial intelligence model that it says can outperform GPT-5.2 and Claude 4.5 Opus at some tasks. The new algorithm, Qwen3.5, is available on Hugging ...

It handles the millions of daily tasks—translation, tagging, and moderation—that require consistent, repeatable results ...

VCs are keeping tabs on creator economy startups in areas ranging from generative AI to live shopping.

Luma introduced Luma Agents, powered by its new “Unified Intelligence” models, designed to coordinate multiple AI systems and generate end-to-end creative work across text, images, video and audio.