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 ...

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

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

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

Gemini Embedding 2 ships cross-modality retrieval with Matryoshka vectors, offering flexible dimensions for cost and accuracy tradeoffs.

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

Microsoft Corp. today expanded its Phi line of open-source language models with two new algorithms optimized for multimodal processing and hardware efficiency. The first addition is the text-only ...

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 ...

Microsoft has introduced a new AI model that, it says, can process speech, vision, and text locally on-device using less compute capacity than previous models. Innovation in generative artificial ...