It has been discovered that the domain 'example.com,' used for testing and explanation purposes, is treated as a real mail server in Microsoft Outlook's auto-configuration feature, resulting in users' ...
Microsoft announced today that it will integrate Sysmon natively into Windows 11 and Windows Server 2025 next year, making it unnecessary to deploy the standalone Sysinternals tools. "Next year, ...
Arc Raiders has ended its 'Server Slam' playtest with a big peak concurrent player number on Steam, suggesting a strong launch is ahead. The open Server Slam ran over the weekend on PC via Steam and ...
String manipulation is a core skill for every Python developer. Whether you’re working with CSV files, log entries, or text analytics, knowing how to split strings in Python makes your code cleaner ...
JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...
As Model Context Protocol evolves into the “USB-C port for AI applications,” connecting AI agents to the world’s tools and data, these authoritative blogs and websites are essential for anyone aiming ...
Hackers have started to exploit a critical remote code execution vulnerability in Wing FTP Server just one day after technical details on the flaw became public. The observed attack ran multiple ...
Long before Linux was introduced, I worked as a Unix system administrator. In those days, I downloaded the source code, unpacked the tarball archive it arrived in, compiled it, and installed it ...
Abstract: Self-regulated learning refers to the process in which learners are responsible for their own learning, from passive acquisition of knowledge to learning self-active control and restraint.
At the 2025 ZGC Forum, Chinese chipmaker Loongson introduced the 3C6000/D—its first dual-socket 2U server fully designed and manufactured in-house. The launch highlights China's efforts to advance ...
ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
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