There has been some progress since I published Growbotics AI Vision in February 2019, and I’d like to summarise this progress and share with more people.

In the Growbotics AI Vision, I mentioned seven principles that are important to this project; however, instead of reporting progress on each point separately, I’d like to use a slightly different format and group updates in a way that it would be easier to read. Also, instead of publishing one long post, I will release ten smaller updates and will summarise what I learned, what I worked on, what failed and what’s coming next.


I started Growbotics AI project at the beginning of 2018 and wrote the initial blog post to give friends and other people the idea what this is all about. The plan was to write a second blog post about the journey and lessons learned while building a miniature greenhouse. The concept of such greenhouse is rather simple: create one cubic meter sized box, have LED lights in the top, a water tank in the bottom, stuff the cube with many sensors and allow AI (Reinforcement Learning or RL) to control all the knobs. …


Locally grown herbs and mushrooms

In December 2017, I looked at a list of emerging technologies and was fascinated to read about the progress in so many different areas, but one of them caught my eye more than the others - Vertical farming.

To be frank, building a shelf with some LED lights and some pipes for water didn’t look challenging or innovative enough. I wanted to combine the latest advances in robotics, machine learning and blockchain as well as solve some of the problems we have with plastic waste as well as food waste, especially in the large cities. And in January 2018, I…


Initially, I planned this blog post to be out in May 2016, which is — yes — one year ago! The plan was to write about Machine Learning: what made it so popular, what tools and frameworks are available, etc. Rather than repeating what many people already wrote in thousands of blog posts, this will be an overview of our journey. It’s very likely that this route is not so unique, but let’s start at the very beginning.

The Artificial Intelligence journey for me didn’t begin in 2016 or 2015. It began when I chose an optional “Artificial intelligence methods”…


Phew! We’ve been busy with Machine Learning and training neural networks to make the Mic understand the sound and music, to be able to identify musical instruments and genres automatically and much more. And it’s been working freaking awesome! But more about it in our next blog post. This story is all about showing our creature — 3D printed smart microphone — to the world for the very first time to test the public reaction to it.

If you haven’t seen our previous two blog posts, we recommend having a quick look, so you have a better understanding what this…


In the previous post, we explained how the mic.ai project was born and this story is about building our first prototype. As you will find out later actually making three versions altogether. So, the first thought that came to my mind was to collect some audio data from bars and restaurants, try to make some sense of it. Shortly after we started to record audio samples by using mobile phones. Each time we travelled and went to different places we recorded and saved a bit of data on how that place sounds. At the same time, I was eager to…


I like to travel. I like to meet new people. I like to taste new food. I like to discover and explore new great places.

About a year ago, I was walking down the street in the beautiful Copenhagen trying to pick a place, perhaps a bar and thinking what makes this place better than the other. A lot of things matter. For example the interior, the people, the vibe, the sound, the music. …

Tomas Ramanauskas

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