Programming EV3 in ANSI C

Today we have a guest blog post by JAsVAp who was active in the area of EV3 programming with C:

"Ever wanted to have a simple way for programming your Lego EV3 in it's native programming language ANSI C? Well now it is possible! I have made an IDE application for it.

Your code will be running super fast as it is compiled to run directly on your CPU and not for an intermediat virtual machine!!!

And the best thing I want to share it with everybody for FREE. You can download it at my temporary website or on my onedrive.

A first version of documentation is included in the program it self ( README.txt ), but it may not be sufficient enough for everbody. When I find some more time I will create some more example project.

Some important features:

No need for a firmware upgrade!!! So an EV3 out of the box will do.

Your program can be executed from original Lego EV3 menu on your device!

You can setup a Telnet connection ( wifi connection - linux remote terminal ) and start your application in the terminal and even see println outputs!!! ( very handy for debugging )

Compile errors will be put in an output window to help you direct you to the line where the error occured!

Search with replace possibilities, for easy renaming and more

One click compile, download and run your application!

...

If a lot of you Lego fanatics love to use my program I will try and create updates on request!

Hope you enjoy it,

Steven Persyn
Alias: JAsVAp"

MINDSTORMS Retires!

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Machine Learning Extension LEGO MINDSTORMS announced today a brand new feature that is sure to excite all users. Machine Learning Extension is coming to the software in August 2022. This will allow users to implement new applications that were not possible before. Machine Learning has become exceedingly popular in recent years with applications in all sorts of industries from robotics to financial services to climate change. Now, even the youngest of robot enthusiasts and programmers have access to the world of Machine Learning and Artificial Intelligence. Comparing two classes Machine Learning on MINDSTORMS will work with both images and audio. For instance, you could train your model to recognize smiles and frowns on your face and have the emotion displayed on your hub. You could train your model to recognize when a red ball is present or not or identify a particular LEGO element. You can control your robot with audio commands that use your own voice. It is exciting to see what new p

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