The paradigm of science has come to a grinding halt. Some are complaining that there are no big discoveries to find. Although technology advances at a rapid pace, these are simply improvements on previous discoveries. There have been no radical changes in the way we see the universe for decades…until now!
Having brought together the world of modern science and esoteric knowledge, we then move into a new vision of the cosmos, where black holes, so long thought to be the great destructive giants of the universe are actually creative and the source of everything. This model, the Black Hole Principle, is backed up by numerous cosmological data. Furthermore, once we understand this principle, we can explore what it means to us, from reexamining ancient scriptures to providing new models for education, business and even the battle between the sexes!
Punk Science is a radical new vision of science. However, it is not simply for the reader of popular science, but is suitable for someone with no scientific background. It is also of interest to those involved with ‘New Age’ subjects who would like to explore scientific explanations for what they experience in life.
The machines, which have been created by a collaboration of artists and scientists, have been designed to fall in love with punk music and show their appreciation through dance.
The robot punks take pride of place in the mosh pit at a series of gigs called Neurotic. Standing 2m tall, padded and dressed in leather, they are no ordinary concert goers.
Professor McOwan, from Queen Mary University, and one of the creators of the robots, said they were built because of his fascination with human-computer interaction. The robots use neural networks, a collection of computer processors that function in a similar way to a simple animal brain. Neural networks are popular in the field of artificial intelligence because of their ability to recognise patterns from the sensory input of external sources, much like a human brain.
The robot brain, for want of a better word, was played lots of punk, reggae, disco and classical and over a period of time the robot has learned to recognise and appreciate the patterns of sound in punk music. The neural network understands the music in a similar way to a human brain, breaking down the sound into a series of frequency bands. Breaking down the sound produces a map of the audio over time which is turned into an image. That image is submitted to one of the neural networks. Using this “adaptive resonance theory”, the neural networks begin to build up a history of different patterns relating to different sounds. The teaching then shifts to supervised learning in which a more advanced neural network is used to statistically analyse the occurrence of these patterns in a song.
When the robot is listening to live music it is basically pattern matching against the statistics from other types of music it has listened to previously.
During a gig, the robot is reacting in real time to music it has never encountered before.
The robots can decide whether a song is punk or not within 30 seconds. It depends on the form at the beginning of the song. It flicks between thinking a song is punk and not punk at the start and then becomes convinced.
The robot reacts to the level of “punk” in the song.
The more punk it believes the song is, the more it pogos in a “happy and frenzied way.
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