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 ...

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

Crescendo, the first AI-native contact center, today announced that Crescendo Multimodal AI won Best Innovation for Customer Experience and Overall Best of Enterprise Connect 2026, two of the ...

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

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, like vision, audio, touch, lidar, text, and more, from its environment to ...

Unlock Google Gemini AI with these 7 prompts demonstrating research, coding, music, and travel capabilities efficiently.

Google Gemini Embedding 2 unifies text, images, audio, PDFs, and video; it supports 3,072-dimension vectors, simplifying retrieval stacks.

While the concept of multimodal AI has been gaining traction, many companies and users still don't understand the significance of this development. While other types of AI can only handle a single ...

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 ...

Read more about How AI and blockchain are reinventing multimodal logistics for disruption-prone world on Devdiscourse ...