王兆然.美国人工智能驱动的科学研究新进展和部署动向——以美国能源部为例[J].全球科技经济瞭望,2024,(6):8~14,22 |
美国人工智能驱动的科学研究新进展和部署动向——以美国能源部为例 |
New State and Deployment of AI for Science in U.S.:Take United States Department of Energy as an Example |
投稿时间:2024-05-08 |
DOI:10.3772/j.issn.1009-8623.2024.06.002 |
中文关键词: 美国能源部;人工智能科学;部署重点 |
英文关键词: the U.S. Department of Energy; AI4S; deployment priorities |
基金项目: |
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中文摘要: |
在算法、算力、大数据技术的共同支持下,人工智能逐渐展示出改变科学研究方法、提升
研究效率、促进科学发现等重要潜力,推动人工智能驱动的科学研究(AI for Science,AI4S)这一前
沿领域发展。现阶段,人工智能已在生物医药、数学、物理、化学、材料、海洋、地球科学、环境
和气象等不同领域取得突破性进展。美国联邦政府科技管理部门中,美国能源部凭借长期积累的人
才、高性能计算优势,积极探讨 AI4S 重点领域、发展方向和关键挑战,在组织机构、前沿基础设施、
研究项目等方面进行布局,旨在打造以高性能计算为核心的人工智能生态,解决科学研究、能源和
安全领域的关键问题。 |
英文摘要: |
With the joint support of algorithms, computility, and big data, artificial intelligence (AI) is
demonstrating significant potential to change scientific research methods, improve research efficiency and promote
scientific discovery, thereby promoting the development of the cutting-edge field of AI for Science (AI4S). At
present, artificial intelligence has made breakthrough progress in various fields such as biomedicine, mathematics,
physics, chemistry, materials, oceanography, earth sciences, environment, meteorology, etc. Among the U.S.
federal government departments related to science and technology, the U.S. Department of Energy (DOE) has
been actively exploring the key areas, directions, and key challenges of AI4S. With its long-term accumulation of
talent and advantages in high-performance computing, DOE has deployed in organizational structure, significant
infrastructure, research projects, aiming to develop an artificial intelligence ecosystem centered on high-performance computing to solve key problems in scientific research, energy, and security. |
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