Mignon Tsetlin Machine Virtual Hardware Simulator

Mignon的技术可在边缘设备中实现 ** 超低功耗、可解释的人工智能。**人工智能（AI）正在改变日常生活，从我们如何处理信息，到我们如何保持自己的健康和安全。随着人工智能的普及，越来越需要在云端和设备上运行人工智能模型。专家预测，到2030年，可能会有 **\> 1万亿台设备 ** 连接到互联网，其中大多数需要图像识别等人工智能功能。然而，目前的网络带宽和计算能力可能很快就会限制发展。此外，人工智能的黑盒性质限制了应用。设备内的AI，而不是通过网络传输大量数据，被称为边缘AI。Edge AI中最常见的技术称为神经网络。这种方法需要大量的计算能力。Mignon是纽卡斯尔大学的一个分支，旨在将一种全新的、超节能的Edge AI协处理器商业化，该协处理器基于一种名为Tsetlin Machine的架构范式。Mignon的技术将促进新一代AI驱动的边缘设备。Mignon的半导体技术实现了超低功耗边缘推理，并首次实现了片上AI训练。独特的是，Mignon的技术可以在AI中实现可解释性，从而详细了解如何从芯片层面做出决策。Mignon已经证明了比现有商业公司低 **10000倍 ** 的能耗和超过 **1000倍 ** 的延迟，同时保持同样高的准确性。为了确保英国及其全球合作伙伴从Mignon中受益，我们必须确保工程师能够获得这项技术。这个项目将允许工程师们在Mignon的技术基础上进行实验和构建，通过虚拟使用云的软件将其提供给他们。因此，他们可以了解它是如何为他们工作的，开始在自己的项目中使用它，并最终从Mignon获得技术许可，在物理设备中使用。一旦开发完成，这个模拟器将有助于物联网边缘AI设备的设计和开发。该项目将为开发这种新技术的生态系统奠定基础，其重心在英国。Mignon认为，在将这项技术商业化的过程中，它有能力彻底改变人工智能在新一代智能设备中的应用方式，为英国半导体行业带来有意义的改善，并产生重大的全球影响。我们认为这个项目将加速这一进程，在不到6个月的时间内将技术交给其他工程师。

Mignon's technology enables **ultra-low power, explainable, Artificial Intelligence within edge devices.** Artificial Intelligence (AI) is transforming daily life, from how we process information, to how we keep ourselves healthy and safe. As the ubiquity of AI increases, there is an increasing need for AI models to be ran outside the cloud and on devices. Experts predict that by 2030 there could be **\>1trillion devices** connected to the internet with a majority requiring AI capabilities like image recognition. However, current network bandwidth and computing power could soon limit development. Furthermore, the black-box nature of AI limits applications. AI within a device, rather than transmitting lots of data over a network, is called _Edge AI_. The most common technology in Edge AI is called a Neural Network. This approach takes a lot of computing power. Mignon is a Newcastle University spinout, to commercialise an entirely novel, ultra energy-efficient Edge AI coprocessor, based on an architecture paradigm called Tsetlin Machine. Mignon's technology will facilitate a new generation of AI-powered edge devices. Mignon's semiconductor technology implements ultra-low-power edge inference and for the first time on-chip AI training. Uniquely, Mignon's technology enables explainability in AI allowing for detailed understanding of how decisions are made from the chip level. Mignon has demonstrated a ~**10000-fold** lower energy consumption and over **1000-fold** lower latency than existing commercial incumbents, whilst maintaining the same high levels of accuracy. To ensure the UK and its global partners benefit from Mignon, we must ensure that the technology is accessible to engineers. This project will allow engineers to experiment and build on Mignon's technology, by making it available to them through software virtually using _the_ _cloud._ Therefore, they can understand how it works for them, start using it in their own projects, and eventually licence the technology from Mignon to use in physical devices. Once developed this _emulator_ will be useful in the design and development of edge AI devices for IoT. This project will set a foundation for developing an ecosystem for this new technology with a centre-of-gravity within the UK. Mignon believes that in commercialising this technology it has the ability to revolutionise the way AI is utilised in a new generation of intelligent devices, bringing about a meaningful improvement in the UK's semiconductor industry, with significant global impact. We think this project will accelerate that, taking less than 6 months to get the technology in the hands of other engineers.