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Source channel @githubtrending · Post #14731 · May 21

#cplusplus#high_performance#interior_point_method#linear_optimization#mixed_integer_programming#parallel#quadratic_programming#simplex HiGHS is a free, high-performance software that solves large and complex optimization problems like linear, quadratic, and mixed-integer programming. It works fast on many computers, including Linux, MacOS, and Windows, without needing extra software. You can use it through various programming languages like Python, C, C#, and Fortran, making it easy to integrate into your projects. HiGHS supports both serial and parallel computing, and it is advancing GPU acceleration for even faster solutions. This helps you efficiently find the best solutions for planning, scheduling, and decision-making problems in science, engineering, and business. Installation is straightforward, and detailed documentation is available to guide you[1][2][3][4]. https://github.com/ERGO-Code/HiGHS

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AI & Law

@ai_and_law · Post #763 · 02/12/2026, 08:04 AM

🇪🇺📖ETSI Publishes Baseline AI Security Standards for Europe The European Telecommunications Standards Institute (ETSI) has released baseline cybersecurity standards for organizations implementing AI systems in Europe. The document sets out AI security expectations across the full lifecycle of AI tools, including design, deployment, and operational use. The standards were developed using guidance from the UK National Cyber Security Centre and the Department for Science, Innovation and Technology. They are intended to serve as a common security reference point for AI adoption, establishing minimum expectations for safeguarding AI systems against cyber risks. #AIRegulation#AIGovernance#Cybersecurity#AIStandards#ETSI#TechLaw