The latest issue of our chapter's signature publication, "The Cognitive Nexus," offers perspectives on advanced applications and security challenges in computational intelligence, primarily focusing on three areas: robust AI systems, retail technology integration, and AI security architecture.

One of the articles introduces a cognitive neuro-symbolic reinforcement learning (CNS-RL) framework designed to improve the robustness and explainability of agents in dynamic environments like Procgen (for procedurally generated games) by unifying causal reasoning and temporal logic constraints.

Another article presents a case study on a Real-Time AI-Driven Omnichannel Synchronization Framework for retail, detailing how machine learning models like XGBoost and BERT, combined with edge computing, can optimize demand forecasting, customer engagement, and operational efficiency across e-commerce and point-of-sale (POS) systems.

A pair of articles address the critical issue of AI security, with one proposing a comprehensive evaluation suite (Secure-RAG) to assess the reliability and safety of Retrieval-Augmented Generation (RAG) pipelines, while the other analyzes the complex threat landscape of agentic AI systems using the Model Context Protocol (MCP), mapping over twenty attack vectors across five architectural layers and suggesting layered defense strategies.

Read the issue here: https://lnkd.in/gCg7dwtk.

Watch an overview here: https://lnkd.in/g-FUVrQS

Congratulations to the editorial team, Vishnu Pendyala, Rahul Raja, and Arpita V., for bringing out the issue on time.