Skip to main content

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/ 


Comments

Post a Comment

Popular posts from this blog

What is the difference between TR-3A and TR-3B? And are those planes real?

What is the difference between TR-3A and TR-3B? And are those planes real? Is TR-3B (0) "Black Triangle UFO" or is it only the piece of paper?  The study project, what is used to create advanced ideas for use of the nuclear-powered aircraft. Or is it the study project or black budget aircraft, where lost 2,3 trillion dollars (1)of the stealth bomber were gone. In this text is things, that might seem very difficult to accept, and when we are thinking about things like doubling the object or making it smaller by using huge layers of energy, nothing denies to test those things. But were those tests successful, there is no data about that in public Internet, so we must say that things like doubling the human or aircraft can be tested, but the results can be unknown.  But in the source two is the tale, what seems like impossible, those men, who got Noble Prize put at first time one atom to the box, and hit it with photon one photon in the box and hit it with th
Post a Comment
Read more

Mythic Planet X is an interesting thing because that allows the way to the perfect stealth technology.

  Mythic Planet X is an interesting thing because that allows the way to the perfect stealth technology.  Could a hypothetical Planet X tunnel all radiation?  The myth of Planet X still lives. Nobody ever saw that planet, and the thing that supports the theory of previously unknown large-size planets in Kuiper's belt are mysterious anomalies in Neptune's trajectory. The thing is that nothing else supports the theory of the existence of the "invisible planet". The size of the planet must be very big. And its gravitational field strong that it can affect Neptune's trajectory.  And the search for that mysterious planet is very long work. In some visions, the mysterious gravitational source is mentioned as the small black hole, but nobody understands why that black hole doesn't seem to interact.  In some other theories, Planet X is a glimpse of dark matter. And that thing makes it invisible. But there is one weakness. The dark matter object must have some kind of
Post a Comment
Read more

Nanoparticles are excellent tools for medicine transporters.

"Researchers have developed a new therapy for pancreatic cancer involving nanoparticles that stimulate immune responses and improve drug delivery. This innovative method has led to significant tumor reduction in mice and holds potential for treating other cancers. Credit: SciTechDaily.com" (ScitechDaily, New Nanoparticle Cancer Treatment Successfully Shrinks and Eliminates Pancreatic Tumors) Nanoparticles can carry medicines into wanted cells. The idea is that the same system that feeds those cells transports those nanoparticles into cells that need medicine. When a nanoparticle goes, into a cell, it releases the chemicals into the targeted cells. Because nanoparticles don't let medical molecules interact with a body that makes it possible to create new and more powerful cytostatics. Nanoparticles can transport things like ricin molecules into wanted cells.  Ricin is one of the most poisonous chemicals. That chemical is useful for next-generation cytostatics, if researche
Post a Comment
Read more