EL-RAKHAWI MIND: A COMPREHENSIVE EVIDENCE-BASED ENCYCLOPEDIA OF NEUROSCIENTIFIC FOUNDATIONS, NEUROMORPHIC HARDWARE, AND EMBODIED ROBOTIC SYSTEMS

EL-RAKHAWI SOVEREIGN JURISPRUDENCE OF ARTIFICIAL INTELLIGENCE LIABILITY A Comprehensive Architecture for Criminal and Civil Responsibility in the Age of Autonomous Systems, Embodied Robotics, and Artificial General Intellig

m el-rakhawi

EL-RAKHAWI SOVEREIGN JURISPRUDENCE OF ARTIFICIAL INTELLIGENCE LIABILITY A Comprehensive Architecture for Criminal and Civil Responsibility in the Age of Autonomous Systems, Embodied Robotics, and Artificial General Intellig

EL-RAKHAWI MIND: A CRITICAL REVIEW OF NEUROMORPHIC COMPUTING AND EMBODIED ROBOTICS, CURRENT STATE, CHALLENGES, AND FUTURE RESEARCH DIRECTIONS A Critical Review of the

m el-rakhawi

EL-RAKHAWI MIND: A CRITICAL REVIEW OF NEUROMORPHIC COMPUTING AND EMBODIED ROBOTICS, CURRENT STATE, CHALLENGES, AND FUTURE RESEARCH DIRECTIONS د

OMDS 标准入库样本 · 第007号 OMDS Standard Archival Sample · No.007 中央校准大脑 - 边缘具身智能集群体系:具身感知闭环、分布式决策与硅基生命判定边界 Central Calibration Brain - Edge Embodied Intelligence Cluster System: Embodied Perception Closed Loop, Distributed Decision-Making and Demarcation Boundary of Silicon-Based Life

洋洋 郭

Author:郭洋洋(Guo Yangyang )ORCID:0009-0006-6669-1790Corresponding Email:gyy-goes@foxmail.com 数据 ID:OMDS-20260724-007Data ID: OMDS-20260724-007创新等级:L5 体系工程落地与生命本体论拓展Innovation Level: L5 System Engineering Implementation and Life Ontology Expansion认知层级:五级完整闭环Cognitive Level: Level 5…Read more

Nonlinear Industrial Robot Stabilization Based on Differential Topology

ÖZTÜRK SEDAT

This study presents a nonlinear stabilization framework for industrial robotic systems based on differential topology and geometric control theory. System dynamics are modeled on smooth manifolds, where stabilization is achieved through topological invariants and non-smooth feedb…Read more

Also available via: European Organization for Nuclear Research

Structured Framework for Managing Decision Trade-offs in AI-Based Perception Systems for Advanced Driver Assistance Systems

R K Joshi

The use of Advanced Driver Assistance Systems (ADAS) heavily depends on the perception models to make real-time decisions but the traditional methods have tended to use specific confidence thresholds to make the trade-offs between missed detections and false alarms to be not opti…Read more

RAQA-Weather: A Machine Learning-Based Monitoring System for Iran

Abdullah Kaviani Rad

Executive Summary RAQA-Weather is a comprehensive weather intelligence system designed for Iran that combines real-time web scraping, machine learning-based spatial prediction, and interactive visualization. The system processes data from 17 synoptic stations across Iran and gene…Read more