Working with CSV files in Excel often involves repetitive imports and manual updates, which can be both time-consuming and error-prone. Leila Gharani introduces a practical solution using Excel’s ...

Science in the modern era is increasingly reliant on enormous datasets and automated analysis. In astronomy, the Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST) – a ten-year survey ...

A methodological change contributed to a better-than-expected inflation report, prompting questions from some economists. By Ben Casselman An obscure methodological change lowered a key measure of ...

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AI data centers can operate without using peak power continuously, according to the results of a UK trial, a finding that could have implications for electricity systems worldwide. Grids from the US ...

A report copublished by WIRED sparked a probe into opt-out pages hidden by data brokers. Now congressional Democrats say breaches tied to the industry have cost people tens of billions of dollars.

Data centers are being built at a frantic pace all over the world, driven by the AI boom. These facilities consume staggering amounts of electricity. By 2028, AI servers alone may use as much energy ...

A team at Microsoft Research combined lasers, machine learning and tiny glass rectangles to demonstrate a new robotic data storage system that could, in theory, still be readable 10,000 years from now ...

Archival storage poses lots of challenges. We want media that is extremely dense and stable for centuries or more, and, ideally, doesn’t consume any energy when not being accessed. Lots of ideas have ...

What is this? A data pipeline that takes raw market data files (CSV, exchange exports) and converts them into a structured, queryable catalog that NautilusTrader can use for backtesting. It handles ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...