Aicomputetoken

Analysis of AI compute architecture evolution through a seven-layer model covering hardware, neural networks, context management, agents, and ecosystem development.

Research on profiling AI models to optimize computation offloading in heterogeneous edge AI systems for 6G networks, focusing on resource prediction and task scheduling.

This paper introduces AI-oracle machines, extending Oracle Turing Machines with AI models like LLMs, LRMs, and LVMs for enhanced problem-solving, control, and reliability in intelligent computing.

A theoretical framework for quantifying AI computational effort, enabling standardized performance evaluation and energy-aware taxation models across diverse hardware architectures.

Survey analyzing how blockchain and artificial intelligence technologies can enhance security, automation, and performance in Internet of Things systems and applications.

AIArena is a blockchain-based decentralized AI training platform that democratizes AI development through on-chain incentive mechanisms, ensuring fair rewards and transparent collaboration.

Comprehensive analysis of distributed consensus mechanisms for connected autonomous systems, focusing on DAG-based solutions for wireless network challenges.

Research on tokenizing drone and eVTOL computing power as Real-World Assets using blockchain to create collaborative Low-Altitude Computility Networks for urban services.

A hybrid AI framework combining zkML for privacy and opML for efficiency, addressing computational and privacy challenges in blockchain-based AI services.

A comprehensive analysis of the Secure-Tech Triad framework integrating Blockchain, AI, and IoT technologies to enhance electronic voting system security, efficiency, and cost-effectiveness.

Analysis of tokenization efficiency disparities across 200+ languages revealing systematic computational inequities in multilingual AI systems.