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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 #132 · 10/06/2023, 07:04 AM

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Navigating AI Worries: Insights from the FTC Hello, dear subsribers! The U.S. Federal Trade Commission's Office of Technology has addressed consumers' growing concerns about artificial intelligence in a recent blog post. These concerns encompass the entire AI lifecycle, from its construction to its real-world use by third parties. Key issues highlighted include the extensive data collection necessary for training AI models and various aspects of users' interactions with AI systems. #AIandLaw#AIConcerns#FTC#ArtificialIntelligence

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