Norway’s Nordic Semiconductor has added embedded machine learning (ML) software to its cellular-based IoT chipset portfolio, aiming to capitalize on the fast-gathering groundswell around IoT edge analytics and other functionality where remote execution in the cloud is unfeasible or undesirable for various reasons. This has come about through Nordic Semi’s partnership with US-based Edge Impulse, which makes miniaturized ML tools for chips in resource-constrained IoT modules, under the banner of ‘TinyML’. The pair had prepared the ground by launching TinyML support for the Norwegian firm’s nRF52 and nRF53 series of Bluetooth Low Energy (BLE) chips at the start of 2021. It is now offering the same with its nRF9160 development kit and Thingy:91 prototyping platform, which both combine the firm’s cellular-based low…