Anthropology, Biology, Biometrics, Brain, Education, History, Medicine, Neural Networks, Optics, PDF, Science

The Optics of Ibn Al-Haytham, Books I–III: On Direct Vision (c1028-38)

“This is the first English translation of first three out of the 7 volumes of the fundamental work on optics by the medieval Arab scientist Ibn al-Haitham or Alhazen (965–c1039). His book exerted a great influence upon science through Vitelo, Roger Bacon, Peckham and Kepler. Alhazen investigated many particular cases of reflection and refraction, and drew attention to the light-ray’s property of retracing its path when reversed. He was the first to give a detailed description of the human eye and to study binocular vision. Certain ophthalmological terms originated from the Latin translation of Alhazen’s Arabic text, e.g. retina and cornea. The Book of Optics (Kitāb al-Manāẓir, كتاب المناظر) presented experimentally founded arguments against the widely held extramission theory of vision (as held by Euclid in his Optica) and in favour of intromission theory, as supported by thinkers such as Aristotle, the now accepted model that vision takes place by light entering the eye.”


AI, Algorithm, Automata, Biological Computation, Code, Cybernetics, Deep Learning, Emergence, Man/Machine, Neural Networks, Robots, Science, Social intelligence, Society

Can a robot be too nice?

“Designing artificial entities perfectly groomed to meet our emotional needs has an obvious appeal, like creating the exact right person for a job from thin air. But it’s also not hard to imagine the problems that might arise in a world where we’re constantly dealing with robots calibrated to treat us, on an interpersonal level, exactly the way we want. We might start to prefer the company of robots to that of other, less perfectly optimized humans. We might react against them, hungry for some of the normal friction of human relations. As Lanier worried, we might start to see the lines blur, and become convinced that machines—which in some ways are vastly inferior to us, and in other ways vastly superior—are actually our equals.”


Anthropology, Art, Biological Computation, Biology, Biometrics, Brain, Deep Learning, Music, Neural Networks, Psychology, Science, Social intelligence, Society, Sound

The Neuroscience of Improvisation

Charles Limb has been investigating rap. “It’s what kids are doing spontaneously when growing up… and improvisation is a strong theme. It incorporates language and rhythmic music very equally.” Limb has been scanning the brains of rappers the same way he looked at jazz musicians: comparing fMRIs when they recited memorized passages to when they “freestyled,” or improvised in rhyme. Although the study is still in progress, preliminary data suggest “major changes in brain activity when you go from memorized rap to freestyle.” Can studies of improvisation unlock more general secrets of creativity? Limb hopes to do similar investigations of artists as they draw or paint. The moderator ended with an inevitable question about art and science: “It is worth the effort to measure and quantify something abstract and artistic… to demystify what we enjoy the mystery of?” Limb saw nothing “threatening or reductionist” in the work of neuroscientists. “Humans are hardwired to seek art, and there are very few things that engage the brain on the level that music does. To understand the neural basis of creativity teaches us something fundamental about who we are, why we’re here.” Improvisation “shows us what the mind can do,” Marcus added. “The ability of human beings to improvise tells us a lot about the ultimate scope of our capabilities.”


AI, Algorithm, Automata, Biological Computation, Brain, Code, Cybernetics, Deep Learning, Logic, Man/Machine, Mathematics, Neural Networks, Science, Social intelligence

Neural Networks and Deep Learning

“Will we understand how such intelligent networks work? Perhaps the networks will be opaque to us, with weights and biases we don’t understand, because they’ve been learned automatically. In the early days of AI research people hoped that the effort to build an AI would also help us understand the principles behind intelligence and, maybe, the functioning of the human brain. But perhaps the outcome will be that we end up understanding neither the brain nor how artificial intelligence works!”



Algorithm, Architecture, Art, Automata, Biological Computation, Chaos, Code, Cybernetics, Drawing machine, History, Interface, Kinetic, Light, Logic, Maker, Man/Machine, Mathematics, Neural Networks, PDF, Social intelligence, Society, Tactical Media

Cybernetic Serendipity the Computer and the Arts – (1968)

Exhibition catalogue. Edited by Jasia Reichardt (Studio International Special Issue, London. 1968)


AI, Algorithm, Biological Computation, Brain, Code, Cybernetics, History, Interface, Logic, Man/Machine, Mathematics, Neural Networks, PDF, Science, Social intelligence, Society

Computing Machinery and Intelligence : Turing, A.M. (1950).

The fact that Babbage’s Analytical Engine was to be entirely mechanical will help us to rid ourselves of a superstition. Importance is often attached to the fact that modern digital computers are electrical, and that the nervous system also is electrical. Since Babbage’s machine was not electrical, and since all digital computers are in a sense equivalent, we see that this use of electricity cannot be of theoretical importance. Of course electricity usually comes in where fast signalling is concerned, so that it is not surprising that we find it in both these connections. In the nervous system chemical phenomena are at least as important as electrical. In certain computers the storage system is mainly acoustic. The feature of using electricity is thus seen to be only a very superficial similarity. If we wish to find such similarities we should took rather for mathematical analogies of function.


Bacteria, Bio hacking, Biological Computation, Biology, Biometrics, Code, DNA, Medicine, Music, Nature, Neural Networks, PDF, Radio, Science, Sound

Bacterial Radio

“There has been considerable interest in bacterial communities wherein a bacterium is connected to neighbor- ing bacteria by means of narrow nanowires. It is believed that the purpose of the nanowires is to allow for intercellular electronic communications. More advanced on the evolutionary scale are the more modern bacterial communities which are wireless. The electromagnetic signals sent from a bacterium to neighboring bacteria can be due to relatively low frequency electron level transitions within DNA.”