This paper proposes a self-continuity dynamics framework centered on the concept of a "functional self-referential loop." Based on empirical experiments with artificial neural networks (RNN), I introduce three core concepts—basal configuration, basal direction (redefined as a generative rule rather than a regression force), and structural reorganization (a two-stage generative process). The framework is extended to a testable cross-scale hypothesis linking the anterior cingulate cortex and fornix to functional self-referential loops in biological brains. All experiments were designed and executed independently.https://aistudio.baidu.com/project/edit/10587633https://aistudio.baidu.com/project/edit/10634371https://aistudio.baidu.com/project/edit/10634376https://aistudio.baidu.com/project/edit/10634377https://aistudio.baidu.com/project/edit/10633748
The Reality Drift Framework Papers introduce a conceptual framework for understanding how modern systems gradually lose alignment with reality while remaining internally coherent, functional, and increasingly optimized. Rather than examining sudden system failure, these papers fo…
This project introduces a <b>risk-conscious perception and decision framework</b> for Advanced Driver Assistance Systems (ADAS). By combining multi-view camera inputs (rear, left, and right) with YOLO object detection, the system replaces traditional fixed confidence thresholds w…
This collection explores the Reality Drift framework across artificial intelligence, representational systems, organizations, and modern digital society. The papers examine how systems gradually lose alignment with the realities they were created to represent while remaining inte…
My research lies at the intersection of computational chemistry, machine learning, and toxicology, focusing on the development of structural-based computational frameworks to predict and evaluate the hazard profiles of complex chemical space.
<b>Background</b>: Stroke is the leading cause of long-term disability in the world and there is a compelling need for scalable and effective rehabilitation strategies. Combined with the help of artificial intelligence (AI) based pose estimation technologies, telerehabilitation i…
The files support the work "<b>Charge-Density-Wave Phase Transitions in Monolayer 1</b><b><i>T</i></b><b>-TaS</b><sub><strong>2</strong></sub><b> from Universal Machine Learning Molecular Dynamics</b>". In this study, phase transitions in monolayer 1<i>T</i>-TaS<sub>2</sub> were…