AI for Productive Research & Innovation in eLectronics (APRIL) Hub

人工智能促进高效研究

• 批准号: EP/Y029763/1
• 负责人: Themis Prodromakis
• 金额: $ 1309.15万
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FY029763%2F1
• 关键词: AI; Productive; Research; Innovation; eLectronics

Artificial intelligence (AI) is undergoing an era of explosive growth. With increasingly capable AI agents such as chatGPT, AlphaFold, Gato and DALL-E capturing the public imagination, the potential impact of AI on modern society is becoming ever clearer for all to see. APRIL is a project that seeks to bring the benefits of AI to the electronics industry of the UK. Specifically, we aspire developing AI tools for cutting development times for everything from new, fundamental materials for electronic devices to complicated microchip designs and system architectures, leading to faster, cheaper, greener and overall, more power-efficient electronics.Imagine a future where extremely complex and intricate material structures, far more complex than what a human could design alone, are optimised by powerful algorithms (such as an AlphaFold for semiconductor materials). Or consider intelligent machines with domain-specialist knowledge (think of a Gato-like system trained on exactly the right milieu of skills) experimenting day and night with manufacturing techniques to build the perfect electronic components. Or yet what if we had algorithms trained to design circuits by interacting with an engineer in natural language (like a chatGPT with specialist knowledge)? Similar comments could be made about systems that would take care of the most tedious bits of testing and verifying increasingly complex systems such as mobile phone chipsets or aircraft avionics software, or indeed for modelling and simulating electronics (both potentially achievable by using semi-automated AI coders such asGoogle's "PaLM" model). This is precisely the cocktail of technologies that APRIL seeks to develop.In this future, AI - with its capabilities of finding relevant information, performing simple tasks when instructed to do so and its incredible speed - would operate under the supervision of experienced engineers for assisting them in creating electronics suited to an ever-increasing palette of requirements, from low-power systems to chips manufactured to be recyclable to ultra-secure systems for handling the most sensitive and private data. To achieve this, APRIL brings together a large consortium of universities, industry and government bodies, working together to develop: i) the new technologies of the future, ii) the tools that will make these technologies a reality and very importantly, iii) the people with the necessary skills (for building as well as using such new tools) to ensure that the UK remains a capable and technologically advanced player in the global electronics industry.

人工智能（AI）正在经历爆炸性增长的时代。随着越来越有能力的AI代理商，例如Chatgpt，Alphafold，Gato和Dall-E捕捉公众的想象力，AI对现代社会的潜在影响变得越来越清晰地看待所有人。 April是一个旨在将AI的好处带入英国电子行业的项目。 Specifically, we aspire developing AI tools for cutting development times for everything from new, fundamental materials for electronic devices to complicated microchip designs and system architectures, leading to faster, cheaper, greener and overall, more power-efficient electronics.Imagine a future where extremely complex and intricate material structures, far more complex than what a human could design alone, are optimised by powerful algorithms (such as an AlphaFold for semiconductor 材料）。或者考虑具有域特殊知识的智能机器（想一想在适当的技能环境中训练的类似Gato的系统）日夜实验制造技术以构建完美的电子组件。或者，如果我们通过与自然语言的工程师进行互动（例如具有专家知识的Chatppt）来设计电路的算法，该怎么办？可以对系统的系统发表类似的评论，这些系统可以照顾最繁琐的测试和验证日益复杂的系统，例如手机芯片组或飞机航空电子软件，或者实际上是用于建模和模拟电子设备（都可以通过使用半自动的AI编码器，例如Asgoogle的“ Palm”模型来实现）。这正是四月试图开发的技术鸡尾酒。敏感和私人数据。为了实现这一目标，April汇集了一个大型的大学，工业和政府机构，共同努力开发：i）未来的新技术，ii）将这些技术成为现实的工具，非常重要的是，iii）具有必要技能的人（构建此类工具以及使用此类新工具），以确保英国在全球电子产品中保持有能力的技术和技术先进的企业。