For many tasks in corporate America, it’s not the biggest and smartest AI models, but the smaller, more simplistic ones that are winning the day.

In a data-driven world, pauses in government economic data do more than inconvenience economists, they create dangerous blind spots for investors and business leaders.

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

Abstract: This article shows how the design of switching power converters at the component level can be assisted by data-driven, automated, systematic methods. This work uses regression machine ...

AlmaLinux 10.1, codenamed Heliotrope Lion, beta version is released with Linux Kernel 6.12, native Btrfs support and more.

Cybercrime crackdowns, AI security flaws, and major breaches — from $176M fines to Starlink, F1, and Google’s new threat ...

An AI version of session hijacking can lead to attackers injecting malicious prompts into legitimate MCP communications.

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

AIOps isn’t just a buzzword — it helps teams predict issues before they happen and fix them automatically with smart, ...

Abstract: Accurate temperature estimation of mechanical components in wind turbines is essential for extending their lifespan and optimizing maintenance strategies, given the complex and dynamic ...

Hello guys, I am working on creating a Monitoring using Azure ML mainly for checking the Data Quality signal (Quality of the baseline and production data) and Data Drift signal (Change in distribution ...