The nature of embedded systems is being changed with the advent of graphical, intelligent human-machine interfaces and the Internet of Things. Every imaginable system, from coffee makers and washing ...
Oracle has released the latest version of embedded Java, Java ME Embedded 3.3, along with the Jave ME SDK 3.3. Oracle is looking to support applications for the Internet-of-Things (IoT) and machine-to ...
You probably hold with the conventional view that the Java language cannot be used for embedded programming. According to this view, implementations of the Java language are (1) too slow, (2) too big, ...
Developers writing embedded Java applications have a stack of frameworks and other tools to choose from. Here are the best Java frameworks used for embedded development today. Java’s creators had a ...
Java runtime maker Azul Systems today launched a new version of its build of the OpenJDK aimed at embedded systems, mobile, and the Internet of Things (IoT) developers. Zulu Embedded is an open-source ...
The world of intelligent devices is changing dramatically. The computerized devices around us are getting smarter; they're increasingly connected and interdependent, and they're becoming vastly more ...
Ask most embedded developers why they're still writing firmware in C, and you'll hear the same answer: "C++ is too heavy for embedded." That concern has merit. It's also more than 20 years out of date ...
Excelsior delivers embedded Java SE run time and development tools like its latest Excelsior JET platform. It includes ahead-of-time (AOT) compiler and installation toolkit that has passed the Java ...
Some years ago compiler vendor Keil Software (now part of ARM) ran an ad in Embedded Systems Programming magazine (later known as Embedded Systems Design, and now embedded.com) for their new compiler: ...
In the world of embedded systems, the language debate is alive and well. For years, C has dominated this space, its minimalistic design and low-level control giving embedded engineers the tools to ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
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