IoT & Edge
Running ML in the cloud is a well understood practice, with everything from cloud-based machine learning deployment services to running it yourself via Kubernetes. This talk will cover how to run machine learning models at the Edge using the Eclipse Deeplearning4j framework. The talk will cover how to run Python scripts and TensorFlow models on a Jetson Nano.
IoT & Edge
Describe how harmonyOS is designed, from modular architecture and build system to deployment to devices, from CI/CD and IP policy to package management and application development that target use cases leveraging mutiple devices at once.
IoT & Edge
This session shall explore the current trends in the consumer electronics market. We shall identify problems in the current market in terms of the fragmentation caused by Dominant vendors led initiatives.
To solve the problem we introduce characteristics required of a possible unifying o.s. We propose a redifinition of software development targeting real life use cases that leverage multiple devices. Harmony OS aims to deliver a unique user experience across different devices and scenarios which we shall examine in this session.
IoT & Edge
Learn how the open source community is coming together to support universities exploring high speed autonomous driving via racing including F1TENTH and Indy Autonomous Challenge #iac2021. Joe and Tom discuss the technical challenges this presents and how the open source community is rallying to help universities with this open source autonomous driving stack they can all use.
IoT & Edge
Traditional IoT Gateways often serve as a proxy between devices and a Cloud where all control operations take place. It mainly requires time-series dataflow processing.
Coordination and control operations require a stateful model of the observed environment in terms of high-level business objects (“as is” and “to be”), derived from low-level sensor data. Eclipse Ditto or other Digital Twins As a Service systems could be used on the Cloud to store and query a state of devices and assets and decouple it from implementation details of drivers and protocols.
IoT & Edge
LightweightM2M (LwM2M) by OMA SpecWorks is a device management protocol designed for sensor networks and the demands of a machine-to-machine (M2M) environment. It is designed for the remote management of devices and is based on the Contrained Application Protocol (CoAP, RFC 7252), which itself provides an interaction model similar to the client/server model of HTTP.
IoT & Edge
2019 marked the 50th anniversary of the first moon landing. Decades later, the Apollo program still stands as one of humanity's most impressive technical achievements. To think that we sent people in the void of space using a computer running at 1.024MHz and around 76K of memory!
IoT & Edge
Edge computing is raising as the next paradigm in IT and it aims to provide cloud-like functionalities closer to end-users. This shift has the potential to drastically improve the Quality of Experience of the users as well as to enable unprecedented use-cases (e.g., Connected Factories, Connected Cars, Augmented Reality, etc.).
IoT & Edge
This session targets beginners to the Eclipse Arrowhead project. Some understadning of software and/or automation will be beneficial for the attende.
IoT & Edge
The Robot Operating System 2 (ROS2) is experiencing an incredible adoption in a large class of robotics applications, spanning from autonomous vacuum cleaners to industrial and commercial autonomous vehicles. Furthermore, ROS2 applications are further expanding to:
IoT & Edge