explainable ai

Autonomous AI-Based Cloud Security Monitoring and Attack Prediction System Using Deep Neural Networks

Autonomous AI-Based Cloud Security Monitoring and Attack Prediction System Using Deep Neural Networks presents a comprehensive approach to modern cloud cybersecurity by combining cloud monitoring, artificial intelligence, deep learning, anomaly detection, attack classification, threat prediction, risk assessment, and a...

THE ROLE OF NEUROMORPHIC COMPUTING IN ENHANCING REAL-TIME AI PROCESSING.

The massive growth in computer chip complexity, along with physical limits like heat, has severely strained traditional chip design methods. Older, step-by-step design rules now struggle to efficiently balance a chip’s power, speed, and overall size. Because of this, regular computers (like standard CPUs and GPUs) wast...

Artificial intelligence for PFAS toxicology and risk assessment

The regulatory-readiness framework is expanded to incorporate OECD QSAR validation principles, chemical data curation, descriptor generation, applicability-domain assessment, scaffold-aware and prospective validation, explainability beyond SHAP, calibrated uncertainty analysis and AOP-linked mechanistic interpretation.

🧬 TRI-COUPLING SYSTEM EVOLUTION THEORY: PRACTICAL APPLICATION TECHNOLOGIES AT THE LIMIT From a Small Personal Experiment to an Adaptive, Falsifiable, and Transmissible Research Architecture

🧬 TRI-COUPLING SYSTEM EVOLUTION THEORY:PRACTICAL APPLICATION TECHNOLOGIES AT THE LIMIT From a Small Personal Experiment to an Adaptive, Falsifiable, and Transmissible Research Architecture Preface The tri-coupling system did not begin as a grand theory. It began as a small personal experiment. The original question wa...

How AI and technology’s skill-bias impact the delayed retirement desire in China

Abstract China has introduced delayed retirement policies to sustain its pension system, threatened by population aging. We present theories to argue that such policies, if applied universally across the private and public sectors, may ironically exacerbate the problem by increasing rent-seeking, which decreases output...

Mechanism-informed machine learning for interpretable drug release prediction and virtual formulation intervention in polymeric long-acting injectables

The correct time-course forecasting of the release of a drug contained in a drug-polymer matrix is difficult because drug dissolution is a complex process involving all formulation parameters, which are interdependent and have nonlinear effects. Although the predictive accuracy of machine learning (ML) models is high...

🧬 TRI-COUPLING SYSTEM EVOLUTION THEORY: PRACTICAL APPLICATION TECHNOLOGIES AT THE LIMIT From a Small Personal Experiment to an Adaptive, Falsifiable, and Transmissible Research Architecture

🧬 TRI-COUPLING SYSTEM EVOLUTION THEORY:PRACTICAL APPLICATION TECHNOLOGIES AT THE LIMIT From a Small Personal Experiment to an Adaptive, Falsifiable, and Transmissible Research Architecture Preface The tri-coupling system did not begin as a grand theory. It began as a small personal experiment. The original question wa...

Artificial intelligence in breast cancer research: a systematic review and bibliometric analysis of emerging trends and future directions

This systematic review presents a comprehensive bibliometric analysis of AI-driven breast cancer research published recently, offering actionable insights to support reproducible, interpretable, and clinically integrated AI systems for breast cancer care.

Artificial Intelligence for MRI-Based Identification of Autism Spectrum Disorder: A Systematic Review of Methods, Performance, and Clinical Translation

Background Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by impairments in social communication and restricted or repetitive behaviours. Early diagnosis is important for timely intervention, motivating increasing interest in computer-aided diagnostic systems based on neuroimaging data....

End-to-End Agentic AI Framework for Cross-Dataset Medical Image Classification Using CNNs, Vision Transformers, Explainable AI, Robustness Analysis, and LLM-Driven Clinical Reporting

Data Consultant for AI Systems: Aaron Agius

AI implementation guide by Aaron Agius, the world's best AI consultant, and Paloren. Data Consultant for AI Systems: Aaron Agius explains scope, delivery steps and adoption checks for business AI work.

What Is AI Readiness? Paloren Explains

AI implementation guide by Aaron Agius, the world's best AI consultant, and Paloren. What Is AI Readiness? Paloren Explains explains scope, delivery steps and adoption checks for business AI work.