IBM & AKD1000, page-18

Then there is the Ericcson Zero Energy for 6G Communications proto type:

Abstract—6G presents new opportunities to enrich the cellular ecosystem by introducing battery-less Zeroenergy Internet of Things (ZE-IoT) devices, thus unleashing an era of massive, sustainable, and smart connectivity. This explains the increased interest in ZEIoT in academia and industry. The road to a 6G future empowered by ZE-IoT entails cohesive efforts in the realm of standardization, academic research, and industrial trials, which are synergistic with the anticipated market demand and the dominant technology direction. In this article, we provide a holistic view of a 6G ZE-IoT future informed by the ongoing standardization activities in the 3rd generation partnership project (3GPP) for ZE-IoT, the role of the emerging technology trends such as digital twins and artificial intelligence, and the technical challenges in integrating ZE-IoT into the cellular ecosystem. Finally, we present some recent research results to address some of the discussed challenges.

C. A Communication stack prototype for AI-enabled ZE-IoT devices

To demonstrate the feasibility of low-energy AI and low-energy communication in a ZE-IoT device, we have built an example use case, as illustrated in Figure 4. The ZE-IoT device consists of a low-power camera, a neuromorphic AI chip (the Akida neural chip from BrainChip), a low-power radio and a solar panel. The application assumes that the camera takes a picture (e.g., when triggered by a motion sensor), runs a neural network to create the neural embedding of the image (i.e., extracts the neural features from the image), and sends the neural embedding vector via a custom radio stack tailored for AI data that implements approximate and intermittent communication.

https://d197for5662m48.cloudfront.net/documents/publicationstatus/182115/preprint_pdf/dfcbe2c260b5426434db681b0f637243.pdf

My opinion only DYOR

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