IBM
 ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ 
IBM Developer
 
Open Technology
October 2020
Hello, developers!
Calling all space geeks! While open source technology powers much of the world's systems,  new projects are now extending to outer space. The IBM Space Tech program is excited to announce two new open source projects that increase access to the final frontier.

The Space Situational Awareness (SSA) project helps determine the trajectory of space junk. Our open source SSA project uses machine learning methods to create models that learn when physical models incorrectly predict man-made space objects' future location. The modeling and impact prediction of these space objects is a defining problem of the space 2.0 age. By open sourcing a full pipeline for making orbital predictions and viewing the results, you can now join our mission to solve the “space junk” problem. 

The Kubesat project helps swarms of satellites communicate more efficiently. Kubesat is a cognitive autonomous framework designed for swarms of cube satellites that allows for the simulation and optimization of multi-satellite communications. 

Learn more about our new projects by reading our blog post or listening to a podcast episode with the IBM Distinguished Engineer and Space Tech CTO, Naeem Altaf.

Stay tuned for more exciting Space Tech open source news.

Greg Gorman
Director, Operations, Infrastructure and Open Source
Visit the Open hub
 
Open Source Trends
Walicki with Watson - OpenEEW Earthquake Sensor Firmware development
Watch the video
Spotlights
Onboard edge computing devices with SDO and Open Horizon
IBM recently announced that Intel’s Secure Device Onboarding (SDO) solution is now fully integrated into Open Horizon and available to developers as a tech preview.
Implementing an edge computing architecture
In this series, we examine what edge computing is, explore how you can use edge computing to create new opportunities, and discuss how  to implement edge computing.
Applying AI and Edge prediction to IoT data
Learn how to implement an edge computing architecture, including how to integrate sensors, wireless connectivity, a multiprocessor edge device, a low-power microcontroller, and sensor libraries.
Deploy AI models to edge devices to protect workers
Use Watson Machine Learning to build and train AI models, and use and IBM Edge Application Manager to deploy and run those containerized AI models on edge devices.
Kube video
Join the 2020 Call for Code Awards Virtual Event
Watch the video
 
Events
 
AMA on Istio with Linx Sun and Daniel Berg
October 12 at 9:00 am, Online
 
The 2020 Call for Code Awards: A global celebration of tech for good
October 13 at 7:30 pm ET, Online