PyPLUTO is a Python library which loads and plots the data obtain from the PLUTO code simulations. The aim of this package is to simplify some non-trivial python routines in order to quickly recover ...

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 ...

In the realm of automation testing, precision and efficiency are key. One of the most powerful tools for ensuring accurate API and data validation is Regular Expressions (regex). When combined with ...

Regex is a powerful – yet overlooked – tool in search and data analysis. With just a single line, you can automate what would otherwise take dozens of lines of code. Short for “regular expression,” ...

Anthropic is starting to train its models on new Claude chats. If you’re using the bot and don’t want your chats used as training data, here’s how to opt out. Anthropic is prepared to repurpose ...

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Quietly but quickly, Phoenix has become one of the nation’s hotspots for a booming economic and technological phenomenon of late-stage capitalism: data centers – the boxy, sprawling farms of wire and ...

Leveraging Centralized Health System Data Management and Large Language Model–Based Data Preprocessing to Identify Predictors for Radiation Therapy Interruption This study presents a new method based ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

AI Data Centers’ Soaring Energy Use: Who Pays for Higher Utilities Costs? Your email has been sent The rising number of AI data centers in the US could drive utility costs higher and has put parts of ...