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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 #623 · 07/29/2025, 07:04 AM

🇫🇷CNIL Issued GDPR Guidance for AI Development France’s data protection authority, CNIL, has published its finalized recommendations on applying the GDPR to AI systems. The guidance addresses core compliance areas: lawful training data practices, security obligations, and data annotation protocols. It provides clarity for AI developers navigating GDPR requirements at every stage of system design. This move aligns with CNIL’s 2025–2028 strategic plan, which prioritizes sector-specific AI guidance. The message is clear: AI development in the EU must embed data protection by design—and regulators are now setting detailed expectations to ensure it happens. #AI#GDPR#CNIL

AI & Law

@ai_and_law · Post #607 · 07/04/2025, 07:04 AM

🇫🇷France Launches PANAME: Building Tools to Audit AI Privacy France's CNIL has announced PANAME (Privacy Auditing of AI Models) — a new joint initiative with national digital regulators and research institutions to develop auditing tools for AI systems trained on personal data. The project aims to evaluate how well these models safeguard privacy and to publish a catalog of auditing instruments, with an emphasis on open-source accessibility. By leading the development of concrete, testable tools for privacy risk assessment in AI, CNIL positions Europe to move beyond principles into enforcement. PANAME is not just a technical step — it’s a governance strategy that seeks to embed accountability directly into AI infrastructure. #AICompliance#CNIL#AIRegulation#DataProtection

AI & Law

@ai_and_law · Post #139 · 10/16/2023, 07:04 AM

France's CNIL Releases Initial Opinions on AI and GDPR Compliance Hello, everyone! France's data protection authority, the Commission nationale de l'informatique et des libertés (CNIL), has unveiled its initial perspectives on ensuring that artificial intelligence (AI) deployments adhere to the European Union's General Data Protection Regulation (GDPR). In its assessment, the CNIL recognizes the GDPR's role in providing an "innovative and protective framework" for AI. Moreover, the CNIL emphasizes how specific GDPR principles can be applied across a spectrum of AI technologies. #AI#GDPR#CNIL#DataProtection#Compliance