Mignon Ultra-Low-Power Edge AI Semiconductor Chip

许多监控健康、安全和工业流程（以及其他应用）的电子传感器现在都与计算机网络相连。这统称为物联网 (IoT)。通过不断收集和分析数据，它正在带来更好的医疗保健、更高的安全性和更高效的行业。专家预测，到 2030 年，物联网设备数量将超过 1 万亿台。然而，当前的网络带宽和计算能力可能很快就会限制发展。当传感器需要执行复杂的任务（例如确定图像中的内容）时，这首先会成为一个问题。在设备内执行此操作，而不是通过网络传输大量图像数据，称为_edge AI_。边缘人工智能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。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。在这种情况下，不同组的电子元件根据其他链接元件的输出来决定它们的输出。这比同类神经网络 AI 芯片快 1000 倍，并且给出相同答案所需的能量减少 10,000 倍。一旦我们进一步开发了这项技术，这将在物联网的边缘人工智能设备中非常有用。为了从中赚钱，我们必须首先在这个项目中开始改进它的工作方式。然后其他公司将为我们制造计算机芯片。他们将向制造设备的公司提供这些产品，并为使用我们的想法向我们支付版税。我们最近才成立一家公司，仍在计算最终能赚多少钱。我们认为需要 18-30 个月才能从这项发明中获得收入。

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.