Ever since ChatGBT started this current AI gold rush/ AI spring, I have been regularly studying the world of artificial intelligence and its future advantages and implications.
Due to my background in psychology, and with having lost my father to MND at 17, I have always had a unquie motivation in understanding how the brain works. Therefore, during my reading on multilayer neural networks this week I had an interesting thought on the future medical possibilities of AI...
As the world strives to mimic the complexities of the human brain to achieve intelligence particularly through neural networks, could a future form of back-propagation of future deep neural networks offer insights into treating biological neural diseases such as MND?
MND, is a neural disease characterised by motor neurone failure that is unique to each individual which obviously poses significant challenges to understanding a cause and a consistent process of how the disease develops.
On the other hand, deep multilayer neural networks are interconnected nodes or neurons in a layered structure that resembles the human brain that process information, leading to specific actions when a certain threshold is reached.
This made me something click in my head that if we do continue advancing AI, to the point that it does possibly replicate brain functions, it opens up new avenues to potentially understand the root causes of motor neurone failure.
This knowledge could then be used to help guide the way towards the identification of preventive measures to combat the disease or even ways to “switch on” the failing/dead neurones.
The fact that so many of these sorts of ideas are becoming more common place and also the basis for todays research projects, it is clear that we are living in a interesting time, and perhaps we truly are witnessing the beginning of exponential progress in computers and AI that will change the world.
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