Mignon Tsetlin Machine Virtual Hardware Simulator

米尼翁的技术使**超低功耗、可解释的、边缘设备中的人工智能成为可能。**人工智能(AI)正在改变日常生活，从我们处理信息的方式，到我们如何保持健康和安全。随着人工智能的普及，人们越来越需要在云之外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，其中大部分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，人工智能的黑匣子性质限制了应用。设备内的人工智能，而不是通过网络传输大量数据，被称为_Edge AI_。Edge AI中最常见的技术被称为神经网络。这种方法需要大量的计算能力。米尼翁是纽卡斯尔大学的衍生产品，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的架构范例。米尼翁的技术将促进新一代人工智能支持的边缘设备。米尼翁的半导体技术实现了超低功率边缘推理，并首次实现了片上AI训练。独一无二的是，米尼翁的技术能够在人工智能中实现可解释性，从而详细了解决策是如何从芯片层面做出的。米尼翁已经证明，与现有的商业现有产品相比，能耗降低了~**10000倍**，延迟降低了**1000倍**，同时保持了相同的高精度水平。为了确保英国及其全球合作伙伴受益于米尼翁，我们必须确保工程师可以接触到这项技术。这个项目将允许工程师通过软件虚拟地使用云，让他们可以使用米尼翁的技术进行实验和构建。因此，他们可以了解它是如何为他们工作的，开始在他们自己的项目中使用它，并最终授权米尼翁的技术用于物理设备。一旦开发出来，这个仿真器将在物联网边缘AI设备的设计和开发中发挥作用。该项目将为在英国开发这项新技术的生态系统奠定基础。米尼翁认为，通过将这项技术商业化，它有能力彻底改变人工智能在新一代智能设备中的使用方式，给英国的半导体行业带来有意义的改善，并对全球产生重大影响。我们认为这个项目将加速这一进程，只需不到6个月的时间就能将技术掌握在其他工程师手中。

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.