Machine Learning is a subcategory of artificial intelligence dealing with algorithms that concentrate on detecting patterns in data. Machine learning is now an established part of our everyday life. Algorithms are working in the background every time we surf the Internet or use our smartphones, they monitor the voice commands for digital assistants such as Siri or OK Google and form the basis for autonomous vehicle technologies. But what is actually behind this technology, inside the device itself?
In the Machine Learning Studio, visitors can use computer vision and machine learning applications to discover how machines learn and perceive their environment. Working with tech trainers, they can build and train self-driving model cars here, program robots with facial recognition, and gain insights into how they can teach these devices a wide variety of activities. Step-by-step, they can experience not only how these technologies function, but also that everything the machines know is determined by us.
The Machine Learning Studio not only offers insights into the hidden inner life of our learning devices—it is also a place where prototypes and objects can be maintained or repaired by the tech trainers, and museum procedures are revealed that are usually kept behind the scenes.
We understand Machine Learning…
… in the sense of “Artificial Intelligence”
Techtrainers demonstrate descriptively interactive applications and visitors can understand the principles of “Machine Learning” through their own experiments and test its limits.
… in the sense of “How can machines learn?”
The Machine Learning Studio deals with the different methods of how machines “learn” what they should do. This includes classical programming using code input, input methods such as using a controller, and machine learning in the sense of Artificial Intelligence.
… in the sense of “learning more about machines”
In the sense of an “Open the Box” claim of the Techtrainers, visitors can participate when things are going to be fixed or misused in the show workshop and thus hacked. The use of open source technologies plays an important role so that visitors can imitate this at home. We want to “demystify” the technology by explaining the hardware and software.
With support of