Google releases EmbeddingGemma 2 for text, code, images, video and audio
It gives developers one embedding model for multiple media types, with smaller and larger configurations for different device limits.
Describes an AI model that works with more than one kind of input or output, such as text, images, audio and video, rather than text alone.
It gives developers one embedding model for multiple media types, with smaller and larger configurations for different device limits.
Meta says the system will let glasses handle more advanced AI features in the cloud without direct access to sensitive data.
The 9B and 27B models are available in Workers AI and on Hugging Face, with a faster Flash variant for lower-latency decisions.
The model is built for local search and retrieval, letting more data stay on device.
Mistral is keeping the model behind a guarded endpoint for now, with weights due after safety testing in about three weeks.
New demos show Gemini 3.8 Flash handling live visualizations, art, structured prompts and interactive simulations at near frontier‑model performance.
Open‑weight medical AI models are moving into real‑world screening and triage, from rural clinics to national health programs.
Dedicated emails, Mac control, video avatars and smart glasses support push Muse deeper into daily use.
New voice models and Live Avatar aim to make Gemini’s spoken interactions more natural, multilingual and traceable.