Multimodal AI pipelines typically require separate models to handle text, images, video, and audio, each adding transcription overhead, latency, and cost before any search query can even run. Google’s ...

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 ...

In a blog post, the tech giant detailed the new AI model. It is the successor to the text-only embedding model that was released last year, and it captures semantic intent across more than 100 ...

Can free AI scanners replace enterprise SAST? Anthropic and OpenAI found 500-plus zero-days pattern-matching tools missed — and both scanners are free.

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