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The AI's future is morphing neural networks.




"A study from Bar-Ilan University reveals that the brain’s efficient shallow learning, involving a wide network with few layers, can compete with the multi-layered deep learning models in complex classification tasks. This challenges the current design of GPUs, which favor deep over wide architectures." (ScitechDaily, How Can the Human Brain Compete With Artificial Intelligence?)

How can human brains compete with AI? That is a good question. Using and developing the AI requires the ability to make questions in the form, that the AI can complete the task. The AI can handle limited data sources with extremely high speed and high accuracy but still, the AI requires human operators. The thing is that. The AI is developing all the time. And today AI participates in that process. So the AI is one "member" of the R&D teams that create new solutions for the AI.

Computer programs that AI requires are extremely complicated. One solution for making AI is that the AI is formed of modules. Thousands or even tens of thousands or millions of databases are connected into one entirety. The network there databases that contain long-term information cooperate with the short-term databases.

The last ones are in the RAM (Read Access Memory) and the long-term data stored in the hard disks. The system drives information from sensors into the short-term memory. And then AI brings data from long-term memory structure that it can respond to challenge.

Then it compiles that information with databases, and if there is a match. The system starts to operate as the database tells how it must react. The system has certain parameters. That is used to select information for long-term memories. Mixing those databases makes those systems self-learning. Self-learning systems require information that they can mix. Because without information. Is no self-learning.

The "Iron brain": kernel-based morphing neural networks.

The iron brain means hardware-based AI. In that model. The AI and its complicated databases are programmed in the kernel. The kernel means the programs that control hardware and operating system's cooperation. The kernel is like every other computer program, but its place is in the microchips.

One of the most interesting microchip versions that are suitable for running complicated code is the GPU:s (Graphics processing unit). Those GPU processors can drive hard and complicated code. That means every GPU has a small number of databases.

And then there is the AI software. Those GPUs can create neural networks that can operate like the human brain. In that case, those GPUs are operating like neurons, and they can make multiple connections between each other acting like brains. These kinds of non-organic systems are the next-generation morphing neural networks. 

https://scitechdaily.com/how-can-the-human-brain-compete-with-artificial-intelligence/

https://learningmachines9.wordpress.com/2024/01/16/the-ais-future-is-morphing-neural-networks/ 


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