About Cabling Installation & Maintenance

Our mission: Bringing practical business and technical intelligence to today's structured cabling professionals

For more than 30 years, Cabling Installation & Maintenance has provided useful, practical information to professionals responsible for the specification, design, installation and management of structured cabling systems serving enterprise, data center and other environments. These professionals are challenged to stay informed of constantly evolving standards, system-design and installation approaches, product and system capabilities, technologies, as well as applications that rely on high-performance structured cabling systems. Our editors synthesize these complex issues into multiple information products. This portfolio of information products provides concrete detail that improves the efficiency of day-to-day operations, and equips cabling professionals with the perspective that enables strategic planning for networks’ optimum long-term performance.

Throughout our annual magazine, weekly email newsletters and 24/7/365 website, Cabling Installation & Maintenance digs into the essential topics our audience focuses on.

  • Design, Installation and Testing: We explain the bottom-up design of cabling systems, from case histories of actual projects to solutions for specific problems or aspects of the design process. We also look at specific installations using a case-history approach to highlight challenging problems, solutions and unique features. Additionally, we examine evolving test-and-measurement technologies and techniques designed to address the standards-governed and practical-use performance requirements of cabling systems.
  • Technology: We evaluate product innovations and technology trends as they impact a particular product class through interviews with manufacturers, installers and users, as well as contributed articles from subject-matter experts.
  • Data Center: Cabling Installation & Maintenance takes an in-depth look at design and installation workmanship issues as well as the unique technology being deployed specifically for data centers.
  • Physical Security: Focusing on the areas in which security and IT—and the infrastructure for both—interlock and overlap, we pay specific attention to Internet Protocol’s influence over the development of security applications.
  • Standards: Tracking the activities of North American and international standards-making organizations, we provide updates on specifications that are in-progress, looking forward to how they will affect cabling-system design and installation. We also produce articles explaining the practical aspects of designing and installing cabling systems in accordance with the specifications of established standards.

Cabling Installation & Maintenance is published by Endeavor Business Media, a division of EndeavorB2B.

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MLCommons and AI Verify to collaborate on AI Safety Initiative

Agree to a memorandum of intent to collaborate on a set of AI safety benchmarks for LLMs

Today in Singapore, MLCommons® and AI Verify signed a memorandum of intent to collaborate on developing a set of common safety testing benchmarks for generative AI models for the betterment of AI safety globally.

A mature safety ecosystem includes collaboration across AI testing companies, national safety institutes, auditors, and researchers. The aim of the AI Safety benchmark effort that this agreement advances is to provide AI developers, integrators, purchasers, and policy makers with a globally accepted baseline approach to safety testing for generative AI.

“There is significant interest in the generative AI community globally to develop a common approach towards generative AI safety evaluations,” said Peter Mattson, MLCommons President and AI Safety working group co-chair. “The MLCommons AI Verify collaboration is a step-forward towards creating a global and inclusive standard for AI safety testing, with benchmarks designed to address safety risks across diverse contexts, languages, cultures, and value systems.”

The MLCommons AI Safety working group, a global group of academic researchers, industry technical experts, policy and standards representatives, and civil society advocates recently announced a v0.5 AI Safety benchmark proof of concept (POC). AI Verify will develop interoperable AI testing tools that will inform an inclusive v1.0 release which is expected to deliver this fall. In addition, they are building a toolkit for interactive testing to support benchmarking and red-teaming.

“Making first moves towards globally accepted AI safety benchmarks and testing standards, AI Verify Foundation is excited to partner with MLCommons to help our partners build trust in their models and applications across the diversity of cultural contexts and languages in which they were developed. We invite more partners to join this effort to promote responsible use of AI in Singapore and the world,” said Dr Ong Chen Hui, Chair of the Governing Committee at AI Verify Foundation.

The AI Safety working group encourages global participation to help shape the v1.0 AI Safety benchmark suite and beyond. To contribute, please join the MLCommons AI Safety working group.

About MLCommons

MLCommons is the world leader in building benchmarks for AI. It is an open engineering consortium with a mission to make AI better for everyone through benchmarks and data. The foundation for MLCommons began with the MLPerf® benchmarks in 2018, which rapidly scaled as a set of industry metrics to measure machine learning (ML) performance and promote transparency of ML and AI techniques. In collaboration with its 125+ members, global technology providers, academics, and researchers, MLCommons is focused on collaborative engineering work that builds tools for the entire AI industry through benchmarks and metrics, public datasets, and best practices.

About the AI Verify Foundation

The AI Verify Foundation aims to harness the collective power and contributions of the global open-source community to develop AI testing tools to enable responsible AI. The Foundation promotes best practices and standards for AI. The not-for-profit Foundation is a wholly owned subsidiary of the Infocommunications Media Development Authority of Singapore (IMDA).

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