If you don't know what an immunity test is, you stick a device under test in a special chamber and subject it to intense electric fields. An intense electric field can drastically alter the behavior of electronics. The brain is generating intense electric fields (I've been led to understand at least).
On 5/10/21, Mike Archbold <jazzbo...@gmail.com> wrote: >> >> You still haven't answered my questions. >> >> What algorithm are you going to implement using your replicated brain EM >> fields? Or what signaling pattern, if you prefer. How are you going to >> get >> these EM fields to *think*? > > I can't speak for Colin but I do know that he isn't implementing > algorithms.... > > Everybody at some point probably studied electromagnetism. One > compelling component of Colin's argument is that the inspiration for > artificial neural networks essentially comes from the electrical part > of the brain. A neuron fires, true. > > But if you have a current you have an electric field and a magnetic > field. Why is that mostly ignored in the modeling of ANNs? According > to Colin's research, the electric field measurements are *intense* in > the brain (they diminish rapidly over distance). The field of > electronics is built around electromagnetism. Actually I've done some > professional immunity testing of electronics. You can see the a device > under test simply fail at certain frequencies. So why is > electromagnetism left out of the "inspiration" for virtually all ANNs? > > >> >> And when you do, what difference in output do you predict between your >> chip >> that is replicating brain physics, and a traditional digital computer >> running the same algorithm? ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T7c7052974ce450f1-M79177720a8dd8104d4ba7531 Delivery options: https://agi.topicbox.com/groups/agi/subscription
