Smart Battery Management

Smart Battery Management

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...
Federated Learning

Federated Learning

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...
Energy Efficient Algorithms

Energy Efficient Algorithms

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...
Incremental Learning

Incremental Learning

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...
Virtual Sensors

Virtual Sensors

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...