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用于食品的人工智能:加速并推动发现与创新的普及。

AI for food: accelerating and democratizing discovery and innovation.

作者信息

Kuhl Ellen

机构信息

Department of Mechanical Engineering and Bioengineering, Stanford University, Stanford, CA, USA.

出版信息

NPJ Sci Food. 2025 May 22;9(1):82. doi: 10.1038/s41538-025-00441-8.

Abstract

By 2050, feeding nearly 10 billion people will require transformative changes to ensure nutritious, sustainable food for all. Our current food system is inefficient and unsustainable. Traditional attempts to transform the global food system are too slow to drive innovation at scale. Here we explore the potential of artificial intelligence to reshape the future of food. We review the state of the art in food development, discuss the data needed to define a new food product, and highlight seven challenges where AI can help us design nutritious, delicious, and sustainable foods for all. By leveraging AI to democratize food innovation, we can accelerate the transition to resilient global food systems that meet the urgent challenges of food security, climate change, and planetary health.

摘要

到2050年,要养活近100亿人口,就需要进行变革性的改变,以确保所有人都能获得营养丰富、可持续的食物。我们当前的食物系统效率低下且不可持续。传统上试图改变全球食物系统的做法速度太慢,无法推动大规模的创新。在此,我们探讨人工智能重塑食物未来的潜力。我们回顾了食品开发的最新技术水平,讨论了定义一种新食品所需的数据,并强调了人工智能可以帮助我们为所有人设计营养丰富、美味且可持续的食物的七个挑战。通过利用人工智能使食品创新民主化,我们可以加速向有韧性的全球食物系统过渡,以应对粮食安全、气候变化和地球健康等紧迫挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1deb/12098880/abe06b4dd457/41538_2025_441_Fig1_HTML.jpg

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