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Data · Wednesday, 12 August 2026 · Issue 73 · 10 stories

IKEA’s 20,000‑item index and why early‑stopping A/B tests are broken

Analytics & Visualization

ML & AI for Data

CARE‑X adds calibrated diagnostics and measurement tools to chest X‑ray AI

Microsoft Research unveils CARE‑X, a unified chest X‑ray vision‑language model that merges free‑text reporting with calibrated diagnostic scores and deterministic measurement tools, trained via reward‑aligned reinforcement learning. Tested on real‑world Indian hospital data, it outperforms prior models on tasks ranging from finding detection to device placement and measurement‑driven assessments.

microsoft.com ↗12 min read at source

Google's AMIE video AI hits expert-level in real-time consultations

Google unveiled AMIE (Video), a Gemini‑powered AI that can run real‑time video consultations, interpreting visual and auditory cues and guiding virtual physical exams. In a randomized controlled study with simulated patients, the system achieved expert‑level diagnostic performance, showing that multimodal AI can close the gap left by text‑only tools and expand access to high‑quality care.

research.google ↗7 min read at source

Polars vs Pandas: Choose the faster Rust‑backed library when AI pipelines hit scale

Polars trades Pandas' massive ecosystem for Rust‑level performance, lazy evaluation, and columnar storage, delivering 5‑10× speedups on large, CPU‑bound workloads. Still, Pandas remains the go‑to for quick prototyping, rich tooling, and seamless integration with scikit‑learn or statsmodels. Pick Polars for production‑grade pipelines; stick with Pandas for exploratory work.

towardsdatascience.com ↗11 min read at source

Databases & Storage

Databricks adds WASM-Postgres to AI agents, letting each bot run its own local database

Databricks has acquired Electric to embed PGlite, a WebAssembly-based Postgres engine, directly into AI agent sandboxes. Each agent now gets a lightweight, SQLite-like Postgres instance with ultra-low latency, while Electric’s real-time sync keeps distributed state consistent with Databricks’ Lakebase. This lets fleets of agents share up-to-date data without a central DB bottleneck.

databricks.com ↗2 min read at source

You’re caught up.

That was all 10 stories in the 12 August issue.