AI for Productive Research & Innovation in eLectronics (APRIL) Hub
Lead Research Organisation:
University of Edinburgh
Department Name: Sch of Engineering
Abstract
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 as
Google'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.
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 as
Google'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.
Organisations
- University of Edinburgh (Lead Research Organisation)
- PragmatIC (United Kingdom) (Project Partner)
- Thermo Fisher Scientific (Project Partner)
- Cadence Design Systems Ltd (Project Partner)
- JEOL (United Kingdom) (Project Partner)
- Intel (United States) (Project Partner)
- Park Systems UK Limited (Project Partner)
- Thales (United Kingdom) (Project Partner)
- Science and Technology Facilities Council (Project Partner)
- Ansys UK Ltd (Project Partner)
- Tessolve (Project Partner)
- Siemens Digital Industries Software - TX (Project Partner)
- MathWorks (United Kingdom) (Project Partner)
- Keysight Technologies (United States) (Project Partner)
- Leonardo (Project Partner)
- Cirrus Logic (United Kingdom) (Project Partner)
- ST Microelectronics Limited (UK) (Project Partner)
- Siemens (Germany) (Project Partner)
- Arc Instruments (Project Partner)
- AMD (Advanced Micro Devices) UK (Project Partner)
- Samsung (South Korea) (Project Partner)
- Synopsys (Northern Europe Ltd.) (Project Partner)
- Broadex Technologies UK Ltd (Project Partner)
- Embecosm (United Kingdom) (Project Partner)
- BAE Systems (United Kingdom) (Project Partner)
- Mind Foundry Ltd (Project Partner)