Aicomputecoin

Exploring AI applications in NMR spectroscopy for quadrature detection, uncertainty analysis, and spectrum quality assessment using the MR-Ai toolbox.

Review of AI and Machine Learning applications in Statistical Process Monitoring, covering neural networks, classification methods, and future directions including Large Multimodal Models.

Research study analyzing AI applications in HRM, including recruitment automation, employee performance enhancement, and future workforce transformation strategies.

Analysis of a decentralized computing paradigm using blockchain, homomorphic encryption, and SDN for secure, privacy-preserving machine learning.

This study evaluates the effectiveness of ChatGPT-3.5 and GPT-4 in analyzing research papers for scientific literature surveys, focusing on AI applications in breast cancer treatment.

Analysis of crypto token property rights across common and civil law systems, exploring multi-layered legal structures and digital ownership frameworks.

Analysis of decentralized trusted computing base (DTCB) model for enhancing blockchain node security and enabling secure group computations in P2P networks.

TokenSHAP introduces a novel method for interpreting LLMs using Shapley values from game theory, providing quantitative token importance measures through Monte Carlo sampling for enhanced AI transparency.

Comprehensive analysis of 159 research papers applying machine learning to blockchain data, covering use cases, methodologies, and future research directions.

Analysis of Quasar-1 architecture featuring Token Temperature Mechanism and Guided Sequence of Thought for efficient reasoning in LLMs with mathematical foundations and empirical results.

Research on creating trustless smart contracts for evaluating and exchanging machine learning models on Ethereum blockchain, enabling decentralized AI model marketplace.