Energy-efficient artificial intelligence using quantum technologies

使用量子技术的节能人工智能

• 批准号: FL210100045
• 负责人: Prof Andrew White
• 金额: $ 227.15万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Australian Laureate Fellowships
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-04-04 至 2027-04-03
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FL210100045
• 关键词: Energy; efficient; artificial; intelligence; using

Artificial intelligence (AI) is transforming society but standard technologies come with significant hidden costs: training even a single, common, learning model can emit 5 times more carbon dioxide than the lifetime emissions of the average car. This Fellowship aims to develop artificial intelligence platforms using Australia’s significant investment in quantum technologies to bypass traditional approaches to AI. The expected outcomes are neuromorphic computers that operate efficiently—with low-energy cost—and rapidly—achieving speeds impossible with conventional electronic approaches. The anticipated benefits are transformative technologies for AI, new applications across society, and new tools for exploring brain function and cognition.

人工智能（AI）正在改变社会，但标准技术带来了巨大的隐性成本：即使是一个单一的、常见的学习模型，其二氧化碳排放量也可能是普通汽车终身排放量的5倍。该奖学金旨在利用澳大利亚在量子技术方面的重大投资来开发人工智能平台，以绕过人工智能的传统方法。预期的结果是神经形态计算机，它以低能耗和快速实现传统电子方法不可能实现的速度高效运行。预期的好处是人工智能的变革性技术，社会中的新应用以及探索大脑功能和认知的新工具。