United:2023年探索人工智能和自主系统的合成数据入门指南报告(英文版).pdf |
下载文档 |
资源简介
Advances in the field of artificial intelligence (AI) and machine learning in recent years have created unprecedented opportunities to augment human capabilities and to improve the functionality of various autonomous systems, including in the field of international security. Yet, there is a scarcity of the high-quality, highly diverse and relevant real-world data sets that are needed to train increasingly complex AI systems in the defence sector. As a consequence, synthetic data is gradually
本文档仅能预览20页