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multimodal.

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EmbeddingGemma 2: Multimodal AI Finally Goes Truly Local

Google's new 740M parameter embedding model unifies text, images, audio, and video for on-device inference. What this means for privacy-first AI development.

EmbeddingGemma 2: Multimodal AI That Actually Runs on Your Phone

Google's new 740M parameter embedding model unifies text, images, audio, and video on-device. What it means for privacy-first AI development.

NeoMME: Why Unified Multimodal Encoders Matter for Document AI

NeoMME ditches separate vision and text encoders for unified multimodal retrieval. What this means for building faster, leaner document search systems.

AgentHands Shows AI Needs Bodies, Not Just Brains

Google's new XR research demonstrates how synchronized hand gestures transform AI assistance from abstract to embodied, spatial, and genuinely useful for real-world tasks.
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