相关实验视频
特别收藏用于应用人工智能技术,以鼓励经济增长和维持可持续社会
Wu Nanping1, Tsung-Ju Lee2, Li-Jiun Chen2
1Institute of Deep-Sea Science & Engineering, Chinese Academy of Sciences, Sanya, China.
Science progress
|February 5, 2024
概括
人工智能 (AI) 和深度学习能够在生产中更好地分配资源. 本分析探讨了人工智能应用如何提高各行各业的效率和可持续性.
科学领域:
- 计算机科学 计算机科学
- 信息工程 信息工程
- 经济分析 经济分析
- 环境科学 环境科学
- 发展可再生能源 发展可再生能源
背景情况:
- 有效利用资源对于生产,商品选择和可持续发展至关重要.
- 实时监控和调整所有生产细节仍然是一个重大挑战.
- 人工智能 (AI) 为优化资源配置提供了一个潜在的解决方案.
研究的目的:
- 探索AI在改善生产过程中的设计和应用.
- 研究AI在计算机科学以外的领域的跨学科益处.
- 突出人工智能如何增强经济分析和可持续发展.
主要方法:
- 使用深度学习技术进行广泛的数据分析.
- 将以前没有考虑过的信息纳入公司活动评估中.
- 开发人工智能驱动的报告,用于战略生产规划.
主要成果:
- 人工智能有助于反映和计算以前未知的特定公司数据.
- 人工智能驱动的洞察力导致更高效和经济友好的生产战略.
- 该系列包括14篇论文,展示了AI的广泛应用.
结论:
- 人工智能显著提高了资源分配和生产效率.
- 人工智能的跨学科应用扩展到环境保护和可再生能源.
- 人工智能集成是未来经济分析和可持续实践的关键.
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