Earlier this year, Telenor IoT, a leading brand in IoT Connectivity, published its annual IoT Predictions Report. It explains how combining Artificial Intelligence (AI) and the Internet of Things (IoT), also known as AIoT or AI4IoT, is necessary for companies to stay competitive in today’s digital world. Quoting from the report : AIoT is the convergence of AI technologies into an IoT application where IoT represents data and AI - a set of analytical tools that enable extraction of value from data, also commonly termed ‘Internet of Intelligent Things’, ‘IoT with AI’, and ‘IoT Machine Learning’. These terms can be used interchangeably, and each describes an architecture that integrates both technologies in a single solution, a combination which can create a transformative impact. As seen in the diagram to the left, the integration of AI into an IoT deployment can occur at either the edge or in the cloud. The ability of cloud computing to offer scale, flexibility, and power beyond the re
When I posted about Wi-Fi 8 last year, I didn't realise that Wi-Fi was a popular topic on this blog and not only did it make it to the Top 5 posts , the previous post on Wi-Fi 7 made it too, even though it was posted back in the end of 2020. The paper posted last year has undergone revision and a new version of 'What Will Wi-Fi 8 Be? A Primer on IEEE 802.11bn Ultra High Reliability' is available here . Quoting the abstract: What will Wi-Fi 8 be? Driven by the strict requirements of emerging applications, next-generation Wi-Fi is set to prioritize Ultra High Reliability (UHR) above all. In this paper, we explore the journey towards IEEE 802.11bn UHR, the amendment that will form the basis of Wi-Fi 8. We first present new use cases calling for further Wi-Fi evolution and associated standardization, certification, and spectrum allocation efforts. We then introduce a selection of the main disruptive features envisioned for Wi-Fi 8 and their associated research challenges, re