智能基础设施作为现代科学基础
1McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA; Department of Otolaryngology - Head and Neck Surgery, Harvard Medical School, Boston, MA.
ArXiv
|August 20, 2025
概括
科学基础设施需要与人工智能保持一致的进化,以克服数据孤岛并加速发现. 这种动态的生态系统促进了人类和人工智能之间的合作,以实现可复制,道德和有影响力的科学进步.
科学领域:
- 神经科学是一个神经科学.
- 科学基础设施 科学基础设施
- 人工智能的人工智能
背景情况:
- 传统的科学基础设施是静态和碎片化的,导致数据孤岛,互操作性差,缺乏可重复性.
- 低效率和进展缓慢的结果是无法连接和协调科学研究.
- 复杂的神经科学数据的快速增长需要更具适应性的基础设施.
研究的目的:
- 论证科学基础设施的范式转变,向一个动态的,与人工智能保持一致的生态系统.
- 提出创建一个分散的,自我学习和自我纠正的科学系统的操作指南.
- 利用神经科学作为跨领域科学基础设施转型的模式.
主要方法:
- 概念分析和基于视角的论证.
- 基于数据管理,集体利益和数字存储库的原则.
- 推人工智能基础设施的操作指南.
主要成果:
- 确定了当前静态科学基础设施的局限性.
- 提出了一个动态,AI集成的科学生态系统的愿景.
- 概述了关键步骤,包括资金,多样化的贡献认可和全球协调.
结论:
- 智能,与人工智能结合的基础设施对于加速科学发现和确保可重复性至关重要.
- 这种转变可以克服当前的局限性,并将神经科学见解转化为社会利益.
- 拟议的模型为各种领域的科学基础设施现代化提供了一个蓝图.
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