Abstract: Edge computing enables energy-efficient, highresolution Virtual Reality (VR) rendering by optimizing realtime processing at the network edge. This paper proposes a usercentered edge ...

Author: Priyanka Neelakrishnan, B.E., M.S., M.B.A. On a mission to make the world better than yesterday!

In this tutorial, we build a Reinforcement Learning–driven agent that learns how to retrieve relevant memories from a long-term memory bank. We start by constructing a synthetic memory dataset and ...

Abstract: Resource optimization, integration of trust-conscious decision making and energy efficiency in task scheduling are central issues in the modern cloud computing environment, which is ...

This package is currently an alpha release. Expect API coverage, tool actions, packaging details, and client integration guidance to keep evolving before a stable 1.0 release. This server wraps the ...

Scope enforcement proxy for AI-driven penetration testing. The IntegSec Agentic Pentest MCP Proxy sits between an AI agent (Claude, GPT, etc.) and an MCP tool server (TurboPentest, Nuclei MCP, etc.), ...

In this tutorial, we implement an advanced agentic AI system using the CAMEL framework, orchestrating multiple specialized agents to collaboratively solve a complex task. We design a structured ...

Front-end engineering is evolving as Google releases its v0.9 A2UI framework to standardise generative UI. Rather than generating raw code from scratch, A2UI relies on a “Trusted Catalog” of native ...