Embeddings & Vector SearchMichael Tschannen et al. (Google DeepMind)Google DeepMind

Google DeepMind researchers present SigLIP 2

Presented SigLIP 2 — combines captioning pretraining, self-supervised losses and online data curation into a unified recipe

Why it matters

The de facto default vision encoder for VLMs. Multimodal embeddings and VLM backbones converged into the same lineage

Source — Primary sources first; secondary reports are labelled “Press”

Paperarxiv.orghttps://arxiv.org/abs/2502.14786

Added in Week 35, 2026 · See that week

Same week

Naver releases a new HyperCLOVA X modelOfficialxAI releases Grok 3 and Grok 3 mini in beta, plus DeepSearch, its first agentOfficialMTEB community presents MMTEBPaper

Nearby on the same axis

MTEB community presents MMTEBPaperMongoDB announces its acquisition of Voyage AI (terms undisclosed)OfficialGoogle DeepMind researchers present Gemini EmbeddingPaperCohere launches Embed 4Official