Aipowertoken

Critical analysis of AI ethics frameworks, challenges in defining Common Good, and proposal of ethics penetration testing methodology for responsible AI development.

Analysis of decentralized AI infrastructure using IPFS, addressing limitations of centralized AI hubs through Web3 technologies, libraries, and proof-of-concept implementations.

A decentralized framework for optimizing AI service placement, selection, and routing in mobile networks, addressing tradeoffs between service quality and latency.

Research on improving ETo estimation using XGBoost, SVM, and Random Forest models with minimal parameters compared to traditional equations in Morocco's Meknes region.

Comprehensive analysis of GDP protocol for decentralized physical infrastructure networks, covering technical architecture, security mechanisms, and real-world applications.

Survey of Hybrid Human-Artificial Intelligence (H-AI) integration in social computing, addressing AI limitations and proposing a four-layer framework for enhanced social problem-solving.

Perspective on machine learning applications for building energy optimization and indoor environment prediction using ANN models and hybrid approaches.

A comprehensive review of machine learning applications in smart buildings for energy efficiency, occupant comfort, and sustainable building operations.

Analysis of open AI platforms for social good, focusing on common problem patterns, implementation challenges, and pathways to scalable impact in sustainable development.

Analysis of AI's environmental impact and regulatory frameworks for sustainable AI development, covering GDPR reinterpretation, AI Act provisions, and policy recommendations.

Analysis of how corporate culture influences sustainable AI implementation, including opportunities, risks, and organizational factors for responsible AI development aligned with UN SDGs.