Research Tendencies and Prospect Domains for AI Development and Implementation

Kondratenko, Yuriy P./ Shevchenko, Anatolii I.

River Publishers（2024/11発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 154 p.
• 言語 ENG
• 商品コード 9788770046930
• DDC分類 006.3072

Full Description

This River Rapid explores artificial intelligence (AI) implementation priorities, prospect domains, and new research tendencies and trends for AI development and implementation. Part 1 is devoted to the world's priorities in AI implementation. Its main components are based on the analysis of the 50 National strategies for AI development, the world's and NATO's priorities in AI's implementation, and methodological aspects for creating the Ukrainian AI conception and strategy, key priority areas for the introduction of AI in Ukraine, the conscience approach to AI systems design, and the discussion on the new generation computer system with embedded AI. Special attention is paid to perspectives of AI implementation in education and interrelation and inter-influence between AI and educational systems.

Part 2 is devoted to some new tendencies in AI development and implementation. Many scientific results and discussions are directed to some new trends in contemporary AI research: AI systems and tools for shipping and shipbuilding; quantum computing and color optical fuzzy computing in applied AI's R&D; AI for increasing the efficiency of the decision-making processes; neural networks for solving classification and recognition tasks.

This book provides an overview of the recent developments in advanced AI systems including new theoretical findings and successful examples of practical implementation of the AI tools in different areas of human activities. The chapters are presented by invited high-caliber scientists from different countries (Ukraine, the United States of America, Poland, Norway, and the People's Republic of China).

Contents

1. Analysis of the Prospect Domains in AI Implementation: Nationals, NATO and Ukraine AI Strategies 2. Interrelation and Inter-influence of Artificial Intelligence and Higher Education Systems 3. Multivariate Information Systems and Polymetric Sensors: AI Implementation Perspective in Shipping and Shipbuilding 4. There is still plenty of room at the bottom: Feynman's Vision of Quantum Computing 65 Years Later 5. Decision Support System for Maintenance Planning of Vortex Electrostatic Precipitators Based on IoT and AI Techniques 6. Leveraging Pre-Trained Neural Networks for Image Classification in Audio Signal Analysis for Mobile Applications of Home Automation 7. Effectiveness Evaluations of Optical Color Fuzzy Computing