Events: Living object

The exhibition of visual, audio and interactive installations was produced by established female artists Špela Petrič, Maja Smrekar, Saša Spačal, Robertina Šebjanič and Polona Tratnik who have been active at the cross-section of art, science and technology for decades, within the broad and often controversial concept of “BioArt”.

Neural networks learn by analysing cases: the higher the number of cases, the more they learn to recognise and solve problems. Because they require the maximum possible quantity of input data, Smrekar and her team will feed the neural network algorithm in the gallery daily by climbing up and down the installation with the dog. Visitors will be able to follow the physiological measurement data of the artist and the dog as well as the neural network’s real-time data processing with the use of the !brute_force interface on their smart phones.

Neural networks learn by analysing cases: the higher the number of cases, the more they learn to recognise and solve problems. Because they require the maximum possible quantity of input data, Smrekar and her team will feed the neural network algorithm in the gallery daily by climbing up and down the installation with the dog. Visitors will be able to follow the physiological measurement data of the artist and the dog as well as the neural network’s real-time data processing with the use of the !brute_force interface on their smart phones.

Neural networks learn by analysing cases: the higher the number of cases, the more they learn to recognise and solve problems. Because they require the maximum possible quantity of input data, Smrekar and her team will feed the neural network algorithm in the gallery daily by climbing up and down the installation with the dog. Visitors will be able to follow the physiological measurement data of the artist and the dog as well as the neural network’s real-time data processing with the use of the !brute_force interface on their smart phones.

Neural networks learn by analysing cases: the higher the number of cases, the more they learn to recognise and solve problems. Because they require the maximum possible quantity of input data, Smrekar and her team will feed the neural network algorithm in the gallery daily by climbing up and down the installation with the dog. Visitors will be able to follow the physiological measurement data of the artist and the dog as well as the neural network’s real-time data processing with the use of the !brute_force interface on their smart phones.

Neural networks learn by analysing cases: the higher the number of cases, the more they learn to recognise and solve problems. Because they require the maximum possible quantity of input data, Smrekar and her team will feed the neural network algorithm in the gallery daily by climbing up and down the installation with the dog. Visitors will be able to follow the physiological measurement data of the artist and the dog as well as the neural network’s real-time data processing with the use of the !brute_force interface on their smart phones.