explainable ai

From Chronology to Physiology: A Critical Translational Assessment of Artificial Intelligence for Precision Healthspan Measurement

Healthspan, the period of life free from major chronic disease and disability, is a central geroscience outcome, yet its prediction remains difficult due to its multidimensional and heterogeneous nature. In this review, we synthesize advances in artificial intelligence (AI) for precision healthspan assessment, shifting...

An Integrated XAI-RL Architecture for Ethical Decision-Making in Autonomous Robots

Can a robot's ethical reasoning be transparent without slowing it down? That is the question we set out to answer. Autonomous robots now make decisions that affect people's lives, and if we cannot understand how they decide, trust becomes a serious problem. We built a unified architecture that couples Explainable AI (X...

AI-Driven Digital Twin Frameworks for Predictive Maintenance and Closed-Loop Remote Control in Smart Factories: A Structured Review

The increasing connectivity of industrial machines has changed maintenance from a largely schedule-driven activity into a continuous, data-driven process. Digital Twin (DT) technology supports this transition by providing a dynamic virtual representation of a physical asset that is continually updated using operational...

An AI-interpretable multidimensional intelligence-driven framework for student performance prediction using local LLM-based narrative reasoning

Predicting student performance has become a vital objective in educational data mining, however existing models remain limited by limited feature sets, opaque decision processes, and the absence of real-time, context-aware interpretative intelligence. This study presents a novel hybrid Artificial Intelligence (AI) arch...

PREreview of "TurnCost: Turns, Not Observations: Cache-Aware Loop Engineering for Coding Agents"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23423668. TurnCost re-scores 600 public coding-agent trajectories (nvidia/Open-SWE-Traces; OpenHands and SWE-agent crossed with Qwen3.5-122B-A10B and Minimax-M2.5, 150 per cell) und...

FOR SALE % AAWE_SPSPL_REBUILD_AND_ADDON_GUIDE_V10_V11.txt

*THE A.A.W.E S.P.S.P.L (BREAKER OF THE 5 CONSTANTS)* *Anthropomorphic AWARD WINNING EQUATION SPINNING PROBLEM SOLVING PORTABLE LABORATORY* *Authors / Creators:* GIBBS, GLEN M *Inventor:* Glen M Gibbs *Contact:* glenmgibbs1978@gmail.com *DOI:* 10.5281/zenodo.23393962 (v2) / 10.5281/zenodo.22387174 / 10.5281/zenodo.23393...

RCS-RP-004 — From the Cloud to the Living Room: Consumer Hardware and the Rise of Home AI Agents

RCS-RP-004 is the fourth independent research study published by Raiju Cloud System. This working paper examines how consumer computers can support personal AI agents, distinguishing local agent orchestration from local language-model inference. It explains dedicated GPU memory, system RAM, SSD storage, unified memory,...

AI-driven whole-life costing for decision-ready UK public building retrofits

Abstract Public-sector building retrofits in the United Kingdom require decisions that balance whole-life cost, carbon reduction, service continuity and auditability under limited data and constrained capital budgets. This paper develops a decision-ready whole-life costing (WLC) workflow that integrates environmental,...

From Emotion to Expression: The AL–DL–CL Framework for Understanding Communication in the Age of AI and Digital Media

Rapid progress in digital media and artificial intelligence is transforming human communication, facilitating the rapid exchange of messages and minimizing the chances of reflective interpretation. Existing theories in linguistics, psychology, and cultural studies address the structural, cognitive, or social aspects of...

Deep chemometrics for retrospective auditing of the water-nutrient nexus in olive oil via 1D-CNN and explainable AI

Interfacial bond failure analysis of NSC–CGM repair overlay: Experimental evidence, explainable AI, and code-based prevention

AI-enabled hydroponics: a critical review of sensor-driven farming systems for sustainable global food security

This review critically evaluates AI-enabled hydroponic systems, focusing on sensor-driven monitoring of solution chemistry, environmental parameters, and plant-health indicators through imaging, and outlines strategies for integrating AI with plant-centered hydroponic design.