edge computing

Exploring the Landscape of Cloud Robotics: A Comprehensive Review

Cloud robotics is an innovative field that leverages cloud technologies-including cloud computing (CC), cloud storage, deep learning, big data, and the Internet of Things to augment the capabilities of robotics. This integration facilitates the execution of robotic functions through a converged infrastructure and share...

Future Trends in AI, Machine Learning, and Big Data: Implications for Technical Leadership

The study finds that the technical leader must be prepared to constantly learn, adapt, and understand the technological and human factors to be effective in the AI era.

AI Agentic Architectures for Autonomous Data Engineering Pipelines

This study delves into the notion of AI agentic architectures for autonomous data engineering pipelines and investigates the potential benefits of intelligent agents in enhancing automation, resilience, and decision-making processes in contemporary data ecosystems.

Designing Self-Healing AI Agentic Systems: A Framework for Autonomous Detection and Response

A new scientific object – the Autonomous Recovery Efficiency Score (ARES) – is introduced – a quantitative measure of autonomous resilience, as well as a supporting foundation for future autonomous self-healing AI agentic infrastructure.

Cloud-based AI systems for scalable and intelligent software applications

The design, deployment, and performance of cloud-based AI systems, especially scalability, system intelligence, and efficiency, and the challenges, such as latency problems in distributed computing systems, data privacy and security, and resource allocation, are indicated.

Security in Multi-Agent AI Systems: Modeling Emergent Vulnerabilities via Trust Graphs

This study offers new means to design a resilient multi-agent system that is able to resist emergent threats by formalizing trust as a dynamic security vector and introduces an Agentic Trust Dynamics Theory as a conceptual theory to model the evolution, loss, and impact of trust on emerging security vulnerabilities in...

Active learning for interactive prompt clarification in safety-critical programmable logic controller code generation

A Memory-Efficient Tool for Bengali Parts of Speech Tagging

This study develops a rule-based parts of speech tagging tool specifically for those people who want to learn or research on Bengali grammar and proposes and endeavor to implement this tool with an intent to achieve higher accuracy by optimizing memory overhead.

The Conjunctive Misfortune Problem: Behavioural Tail Risk, Outcome Luck, and Punishment Cascades

A serious behavioural failure may be uncommon within a person’s history yet become the principal basis for judgments of character and future risk. This conceptual article develops the conjunctive misfortune problem: adverse conditions, culpable action, stochastic harm, categorical institutional responses, and persisten...

The Conjunctive Misfortune Problem: Behavioural Tail Risk, Outcome Luck, and Punishment Cascades

A serious behavioural failure may be uncommon within a person’s history yet become the principal basis for judgments of character and future risk. This conceptual article develops the conjunctive misfortune problem: adverse conditions, culpable action, stochastic harm, categorical institutional responses, and persisten...

Reliability Beyond Accuracy in Crop Classification Benchmarks (Supplementary Materials)

Reliability Beyond Accuracy in Crop Classification Benchmarks (Supplementary Materials)Introduction: Near-perfect crop-label accuracy can conceal uncertainty, perturbation sensitivity, and weak explanations. This study evaluates these reliability dimensions without treating benchmark classification as agronomic recomme...

Reliability Beyond Accuracy in Crop Classification Benchmarks (Supplementary Materials)

Reliability Beyond Accuracy in Crop Classification Benchmarks (Supplementary Materials)Introduction: Near-perfect crop-label accuracy can conceal uncertainty, perturbation sensitivity, and weak explanations. This study evaluates these reliability dimensions without treating benchmark classification as agronomic recomme...