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TL;DR: Flip the analytics flow from "question‑first" to "analyst‑first" by wiring pluggable domain‑expert skill packs into an offline DuckDB‑driven knowledge compilation loop, then
TL;DR: When RAM pricing spikes, switch to DiskANN for large vectors and keep HNSW in‑memory for latency‑critical queries; blend both to balance cost and performance. Vector search
TL;DR: A unified, schema‑driven streaming architecture that normalizes heterogeneous scientific feeds lets data teams deliver actionable insights from everything from Voyager‑1 tel
TL;DR: A unified, cloud‑native pipeline can ingest, normalize, and analyze heterogeneous space‑science feeds—from Mars dunes to particle‑accelerator logs—in under 30 minutes per ba
TL;DR: Cascade-KDE and beignet are pushing the boundaries of time-series restoration and neural network performance, respectively, offering robust solutions in their domains. In in