首页|Report Summarizes Machine Learning Study Findings from University of Wisconsin M adison (Machine Learning Systems are Bloated and Vulnerable)
Report Summarizes Machine Learning Study Findings from University of Wisconsin M adison (Machine Learning Systems are Bloated and Vulnerable)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news originating from Madison, Wisconsin, by NewsRx correspondents, research stated, “Today’s software is bloated with both code and features that are not used by most users.” The news reporters obtained a quote from the research from University of Wiscons in Madison: “This bloat is prevalent across the entire software stack, from oper ating systems and applications to containers. Containers are lightweight virtual ization technologies used to package code and dependencies, providing portable, reproducible and isolated environments. For their ease of use, data scientists o ften utilize machine learning containers to simplify their workflow. However, th is convenience comes at a cost: containers are often bloated with unnecessary co de and dependencies, resulting in very large sizes. In this paper, we analyze an d quantify bloat in machine learning containers. We develop MMLB, a framework fo r analyzing bloat in software systems, focusing on machine learning containers.”
University of Wisconsin MadisonMadisonWisconsinUnited StatesNorth and Central AmericaCyborgsEmerging Technol ogiesMachine LearningSoftware
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