首页|Universidad Politecnica de Madrid Reports Findings in Artificial Intelligence (I nteroperable software platforms for introducing artificial intelligence componen ts in manufacturing: A meta-framework for security and privacy)

Universidad Politecnica de Madrid Reports Findings in Artificial Intelligence (I nteroperable software platforms for introducing artificial intelligence componen ts in manufacturing: A meta-framework for security and privacy)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news originating from Madrid, Spain, by NewsRx correspondents, research stated, "The irruption of advanced technologi es and the limited knowledge of software architectures are making it difficult f or many small and medium-sized manufacturing companies to keep up with what is b eing called the fourth industrial revolution (Industry 4.0, Industry of the Futu re). Container orchestration platforms provide layers of simplification for key requirements such as interoperability, security, and privacy, and provide mechan isms that allow companies and technology providers to focus on their specific fu nctionalities and goals, instead of investing considerable time and effort in th e underlying platform on which the solution will operate." Our news journalists obtained a quote from the research from Universidad Politec nica de Madrid, "This article focuses on these platforms and the issues when dev eloping them, and proposes a risk- and goaloriented hybrid meta-framework for s ecurity and privacy analysis. The meta-framework uses well-known security and pr ivacy standards and frameworks as a reference and can be used to understand asse ts and requirements and, in particular, to select and configure countermeasures. For practical evaluation of the meta-framework, it was applied to a real case."

MadridSpainEuropeArtificial Intell igenceEmerging TechnologiesMachine LearningSoftware

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.11)