Open season for registration at LAG has begun
To all the Linux enthusiasts and programmers!
The season for registration at LAG has just started. All of you who share our passion for open source, Linux especially, are more than welcome to register. All you need to do is click the ‘Join us’ button. Your next step is to fill out the registration form and submit it. Once it’s been reviewed, you will receive a confirmation email and you are in.
We will present you with the projects we are currently working on to get you going. We will also ask for your ideas and seek your input. After all, spontaneous collaboration and trying out new things quickly is what open source is all about.
Open source internships
Our partner, Antmicro, has recently launched a program of Open Source Internships. If, just like us, you are passionate about open source, eager to participate in world-class computer science projects and wish to have your project professionally open sourced, the internship might be the perfect opportunity for you.
For more details and and to apply, go directly to their careers portal.
We are on the lookout for inspiration
There are a number of projects we are currently working on. The main ones include Singularity and Buildroot but we are always on the lookout for new and inspiring ideas. What better way to find them than to pick the brains of our fellow students.
If you are a fan or an avid user of some latest open source solutions, let us know. We don’t want to miss out on any opportunity to learn and investigate new stuff. Email us your suggestions, including the repository or the website of the project, so that we can take a closer look. We will respond to all your suggestions.
Ai at PUT
We have some good news for those interested in deep learning, computer vision and IoT. PUT has just launched a new specialization for MSc. students of Computer Science: Artificial Intelligence. The program offers over twenty individual courses and most of them can be freely selected to match your interests and create your one curriculum. The courses include: machine learning, neural networks, decision analysis, optimization techniques, computer vision, big data and natural language processing, just to name a few.
The specialization offers a great opportunity to work with TensorFlow and PyTorch - open source machine learning libraries we find extremely useful. The number of prospective students for this particular specialty is limited to 34 so waste no time and apply now. For more details on the specialty check their website