Find My and Find Hub Network Research | Caesar Creek Software

How the von Neumann bottleneck is impeding AI computing

The von Neumann architecture, which separates compute and memory, is perfect for conventional computing. But it creates a data traffic jam for AI.

GitHub - akarshkumar0101/fer: Code for the Fractured Entangled Representation Hypothesis position paper!

Code for the Fractured Entangled Representation Hypothesis position paper! - akarshkumar0101/fer

A Survey of AI Agent Protocols

The rapid development of large language models (LLMs) has led to the widespread deployment of LLM agents across diverse industries, including customer service, content generation, data analysis, and even healthcare. However, as more LLM agents are deployed, a major issue has emerged: there is no standard way for these agents to communicate with external tools or data sources. This lack of standardized protocols makes it difficult for agents to work together or scale effectively, and it limits their ability to tackle complex, real-world tasks. A unified communication protocol for LLM agents could change this. It would allow agents and tools to interact more smoothly, encourage collaboration, and triggering the formation of collective intelligence. In this paper, we provide a systematic overview of existing communication protocols for LLM agents. We classify them into four main categories and make an analysis to help users and developers select the most suitable protocols for specific applications. Additionally, we conduct a comparative performance analysis of these protocols across key dimensions such as security, scalability, and latency. Finally, we explore future challenges, such as how protocols can adapt and survive in fast-evolving environments, and what qualities future protocols might need to support the next generation of LLM agent ecosystems. We expect this work to serve as a practical reference for both researchers and engineers seeking to design, evaluate, or integrate robust communication infrastructures for intelligent agents.

Custom WordPress Plugins: Design, Develop, and Distribute | LinkedIn Learning, formerly Lynda.com

This course is designed to take you from a casual WordPress user to a capable plugin developer, guiding you through the creation of three distinct types of plugins: a custom post type plugin, a simple contact form plugin, and a basic social media sharing plugin. Through hands-on, step-by-step instruction, learn vital skills like registering custom post types, handling form submissions securely, and integrating popular social media sites. Take this course to not only create and customize your own plugins but also understand how to prepare them for submission to the WordPress Plugin Directory, empowering you to enhance WordPress sites with unique, functional tools–and possibly start your own plugin business.