by Ellinor Bokedal | Oct 21, 2020 | White Papers
October 2020 In this Ekkono SWP (Short White Paper) we explain how to get started with Edge Machine Learning; How to select your first project and what to think of when starting up. We also show you frameworks in forms of Scenario Matrix, a Use Case Stair and a...
by Ellinor Bokedal | Jun 6, 2020 | White Papers
June 2020 In this Ekkono SWP (Short White Paper) we discuss how the nature of IoT devices and their environments require adaptive Battery Management Systems (BMS), tailored for the specific device. We mean that incremental Edge Machine Learning is the enabling...
by Ellinor Bokedal | May 22, 2020 | White Papers
May 2020 In this Ekkono SWP (Short White Paper) we discuss the Pros ans Cons with Federated Learning. Machine Learning for IoT has traditionally been done by uploading all data from each connected device to the cloud to train a generic model that can be distributed...
by Ellinor Bokedal | May 12, 2020 | White Papers
May 2020 In this Ekkono SWP (Short White Paper) we discuss the fact and use of Energy Efficient Algorithms. While more and more devices are being connected, they consume more and more energy. What happens when you also run machine learning (ML) on these devices? How...
by Ellinor Bokedal | Apr 29, 2020 | White Papers
April 2020 In this Ekkono SWP (Short White Paper) we introduce Incremental Learning – how you continuously can learn from streaming sensor data, train individually models per device, start with little or no data, etc. A traditional Machine Learning approach...
by Ellinor Bokedal | Apr 23, 2020 | White Papers
April 2020 In this Ekkono SWP (Short White Paper) we explore the use cases and practicalities of replacing/complementing physical sensors with Edge Machine Learning-based Virtual Sensors. Calculate sensor values where it’s hard or impossible to deploy intrusive...
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