by Mira Steinmetz | Oct 14, 2026 | 2026, News
Resource Twins for Embedded Software Exploration October 14, 2026 How can you explore an embedded application’s resource demands without sharing its functional source code? This was a focus of our contribution to TwinSpace, the research project that concluded at the...
by Mira Steinmetz | Sep 30, 2026 | 2026
Many Tensors Don’t Have to Mean a Large Memory Footprint emmtrix Tech PostsCategory: emmtrix Edge AI Compiler Memory is a limited resource in embedded AI systems. That makes how tensor memory is allocated and reused an important part of deployment. In the...
by Mira Steinmetz | Sep 29, 2026 | 2026, News
3,500 Followers on LinkedIn. Thank You! September 29, 2026 A few years ago, we started sharing our work on LinkedIn with a simple idea: to provide insights into the engineering challenges, technologies, and projects that shape our daily work. Today, more than 3,500...
by Mira Steinmetz | Jul 31, 2026 | 2026, News
Variable-Length Arrays (VLAs) Now Supported in emmtrix Studio July 31, 2026 Not every valid C program is equally easy to analyze and optimize. Variable-Length Arrays (VLAs) are a good example. They make C code more expressive when array sizes depend on run-time...
by Mira Steinmetz | Jul 20, 2026 | 2026, News
Release: emmtrix Studio Version 2026.07 July 20, 2026 emmtrix Studio 2026.07 is now available. Highlights include: The new emmtrix Edge AI Compiler, designed to bring AI models to embedded edge devices. It automatically applies target-specific code transformations and...
by Mira Steinmetz | Jul 16, 2026 | 2026, News
Inference Runtime or Generated C Code? July 16, 2026 Your ONNX model passes validation.Now you need to make it part of the embedded application. Do you add an inference runtime or generate C code that you can build, inspect, debug, and maintain with the rest of your...
