Mignon Ultra-Low-Power Edge AI Semiconductor Chip

Mignon超低功耗边缘AI半导体芯片

• 批准号: 10075703
• 金额: $ 15.2万
• 依托单位: MIGNON TECHNOLOGIES LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10075703
• 关键词: Mignon; Ultra; Low; Power; Edge

Many electronic sensors that monitor health, security and industrial processes (amongst other applications) are now linked to computer networks. This is collectively termed the Internet-of-Things, IoT. It is leading to better healthcare, greater security and more efficient industries by collecting and analysing data continuously. Experts predict that by 2030 there could be \>1trillion devices in the internet of things. However, current network bandwidth and computing power could soon limit development. This will first become a problem when sensors need to do a complicated task, like deciding what is in an image.Doing this within a device, rather than transmitting lots of image 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. To improve matters, the partners on this project have developed a new approach called a Tsetlin machine. In this, different groups of electronic components decide their outputs based upon what other linked components outputs are. This is \>1000 times faster than comparable neural network AI chips and uses 10,000 time less energy to give the same answer. Once we have developed the technology further, this will be very useful in edge AI devices in the internet of things.To make money from this, we must first start to improve how it works, in this project. Other companies will then make computer chips for us. They will supply these to companies who build devices and pay us a royalty for using our idea. We only established as a company recently and are still working out how much money we will ultimately make. We think it will take 18-30 months before we can make any revenue from the invention.

现在，许多监视健康，安全和工业流程（除其他应用程序）的电子传感器与计算机网络有关。物联网总共称为The Internet。通过连续收集和分析数据，这导致了更好的医疗保健，更大的安全性和更有效的行业。专家预测，到2030年，物联网中的设备可能有\> 1亿亿。但是，当前的网络带宽和计算能力很快可能会限制开发。当传感器需要执行复杂的任务（例如确定图像中的内容）时，这将首先成为一个问题。将其在设备中进行，而不是通过网络传输大量图像数据，称为_EDDE AI_。边缘AI中最常见的技术称为神经网络。这种方法具有很多计算能力。为了改善问题，该项目的合作伙伴开发了一种称为TSETLIN机器的新方法。在此，不同的电子组件基于其他链接组件的输出来决定其输出。这比可比的神经网络AI芯片快1000倍，并消耗10,000时间的能量来给出相同的答案。一旦我们进一步开发了这项技术，这将在物联网的边缘AI设备中非常有用。要从此赚钱，我们必须首先开始改善该项目的工作方式。然后，其他公司将为我们制作计算机芯片。他们将向建造设备的公司提供这些公司，并向我们支付使用我们想法的特许权使用费。我们最近才建立了一家公司，并且仍在弄清楚我们最终将赚多少钱。我们认为，我们需要18到30个月才能从发明中获得任何收入。