ROS 2 Documentation| docs.ros.org
Vision AI uses image recognition to create computer vision apps and derive insights from images and videos with pre-trained APIs. Learn more..| Google Cloud
Kenning is Antmicro’s library aiming to simplify the workflow with machine learning applications on edge devices. It is used for testing and deploying ML pipelines on a variety of embedded platforms regardless of the underlying framework. Based on a variety of practical edge AI use cases that we are working with on a daily basis, we have now expanded its functionality to include an environment that will help with development of final applications. Expanding the use case beyond just testing ...| antmicro.com
As we continue our push for more software-driven hardware development as part of our work within CHIPS Alliance and RISC-V, we see an increasing need for scalable and flexible CI solutions that can be used with a mix of open source and proprietary components. By building on top of existing infrastructure such as GCP, GH Actions and Terraform, it’s possible to achieve noticeable performance gains, better traceability and runtime isolation for some of the advanced use cases we are helping our...| antmicro.com
We are often approached by customers who want to build a high-performance, user-facing industrial device (like a smart kiosk, machine control screen or vehicle dashboard), and their obvious reference is the Android smartphone in their pocket. Using Android is a natural thought, as it provides a familiar user interface in otherwise complex and data-heavy environments.| antmicro.com
Renode is an open source simulation framework enabling effortless and collaborative software development of embedded and IoT devices in a deterministic environment. A wide toolbox of features for debug, trace and experimentation make it extremely useful in interactive code development scenarios, but the full potential of the tool is revealed in a Continuous Integration environment. With Antmicro’s help, a number of organizations are currently adopting Renode to radically improve their testi...| antmicro.com
Continuous Integration and smart lifecycle management are key for high-tech product development, which is often a complex and multi-faceted process that requires automation to be efficient and failure-proof. At Antmicro, we’ve been creating various open source cloud and hybrid cloud solutions for our customers, helping them to encapsulate the complexity of their software stack. Lots of those projects cross the hardware/software boundary and involve a mix of open source and proprietary code,...| antmicro.com
The demand for deploying machine learning models, especially state-of-the-art deep neural networks on edge devices is rapidly growing. Edge AI allows to run inference locally, without the need for a connection to the cloud, which makes the technologies more portable and self-sufficient. Without the need for sending the data to the cloud, edge AI solutions are also much safer in terms of data privacy.| antmicro.com