Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

Google has launched Gemini Embedding 2, its first fully multimodal embedding model based on the Gemini system. This model ...

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

Recognition spotlights a new model for enterprise customer engagement that eliminates channel-switching and delivers fast, intuitive AI-powered experiences ...

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

Across the world, conversations around Multimodal AI are gaining momentum. Researchers, technology leaders, and industry innovators are beginning to recognize it as the next major frontier of ...

Google has released Gemini Embedding 2, a multimodal embedding model built on the Gemini architecture. The model expands beyond earlier text-only embedding systems by mapping text, images, videos, ...

Google unveils Gemini Embedding 2, a multimodal AI model for RAG, semantic search and clustering across 100+ languages.

Microsoft releases Phi-4 Reasoning Vision 15B, a multimodal AI model that activates its own thinking mode and handles ...

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.

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...