Here, the authors argue that agentic AI requires a shift from evaluating individual agents alone to analyzing interaction architectures, proposing a framework that links agent interactions, collective...

Here, the authors argue that agentic AI requires a shift from evaluating individual agents alone to analyzing interaction architectures, proposing a framework that links agent interactions, collective...

Discover how AWS security teams identify suspicious activities, investigate compromised credentials, analyze security findings, and respond to potential threats using Amazon GuardDuty and AWS CloudTrail.

Your EC2 instance is running, but users cannot access your website. Why? Explore a practical AWS troubleshooting scenario covering Security Groups, ALB health checks, Linux services, DNS, networking, CloudWatch, root cause analysis, and step-by-step solutions.

Corezoid gave an AI agent access to 2,400 Jira tickets and discovered that writing code was easier than routing work correctly. This article explains how a digital twin helped the agent find the right system, ask for help when uncertain, control costs, and learn from each result.

The rise of agentic AI and so-called AI companions introduces a shift in the modes of interactions between humans and machines. The exact contours of this shift remain unclear, but early signs of soci...

Thoma Bravo and Google Cloud partner to accelerate AI transformation across enterprise software using Gemini models and agentic AI.

AWS provides many benefits, including scalability, flexibility, cost-effectiveness, high availability, security, and reliability. It helps businesses and individuals build, deploy, and manage applications easily using cloud computing services. AWS also provides global infrastructure, data backup, disaster recovery, and pay-as-you-go pricing.AWS (Amazon Web Services) provides a wide range of cloud computing services that help businesses and individuals work efficiently.

Reviewer(s): B E Süzek (Muğla Sıtkı Koçman University) | 📒📒📒 ◻️◻️ • J Liu & H Mei & W Wang (Shanghai Tech University) | 📒📒📒◻️◻️ • S Micheva-Viteva (Los Alamos National Laboratory) | 📒📒📒 ◻️◻️

How an agent asks permission in the middle of a tool call, survives the user walking away, and resumes exactly once, instead of ending the turn and running it again after the click.

OpenAI is officially sunsetting its legacy standalone computer client. Specifically, the company initiated in-app alerts declaring the classic ChatGPT desktop app will retire on January 30, 2027. Furthermore, cloud synchronization guarantees that user conversation histories migrate smoothly into the modern application. Originally, the standalone client delivered pure conversational interactions without modular extensions. In contrast, the successor program synthesizes agentic utilities, developer tools, and advanced reasoning capabilities.

Explore how Agentic AI is transforming application development by moving beyond traditional chatbots toward intelligent systems that can reason, make decisions, use tools, and execute tasks autonomously. Discover the role of AI agents, memory, RAG, and guardrails, along with how technologies like AWS can help build smarter, more adaptive applications.

Online Library Management System Using AWS is a cloud computing project that helps students and librarians manage library activities through an online platform. It allows users to search for books, view book details, check availability, borrow books, and return them easily. The system uses AWS services such as Amazon EC2 for hosting the application, Amazon S3 for storing book documents and images, and Amazon RDS or DynamoDB for managing library records.

Exploring the challenges students face in pursuing AWS certifications and how affordable exam vouchers, student discounts, and campus initiatives could make cloud education more accessible.

Large language models support personalized tutoring, content generation, and adaptive learning paths. However, capability development requires these resources and interactions to form a coherent learning process that evolves with the learner. A central challenge is to align goals, activities, and a…

Large language models support personalized tutoring, content generation, and adaptive learning paths. However, capability development requires these resources and interactions to form a coherent learning process that evolves with the learner. A central challenge is to align goals, activities, and a…

The Agentic Web needs to support continuous collaboration among agents from different organizations. These collaborative relationships may span multiple tasks, network connections and execution instances. Such interactions require stable communication entries, message reception when instances are o…

Large language models support personalized tutoring, content generation, and adaptive learning paths. However, capability development requires these resources and interactions to form a coherent learning process that evolves with the learner. A central challenge is to align goals, activities, and a…

Discover how autonomous AI agents are redefining CX. Learn the Agentic Experience Design (AXD) framework to design for H2A, A2A, and H2H interactions.

Large language models support personalized tutoring, content generation, and adaptive learning paths. However, capability development requires these resources and interactions to form a coherent learning process that evolves with the learner. A central challenge is to align goals, activities, and a…

The Agentic Web needs to support continuous collaboration among agents from different organizations. These collaborative relationships may span multiple tasks, network connections and execution instances. Such interactions require stable communication entries, message reception when instances are o…