"Cowley’s team recorded the fruit fly courtship process over a series of “dates” in a petri dish, tracking the behavior of the male (blue) in response to any sight of the female (red). Tiny microphones placed below this “arena” captured the songs the male produced by beating its wings. Credit: Cowley Lab/Cold Spring Harbor Laboratory" (ScitechDaily, AI Predicts Fruit Fly Behavior With Stunning Accuracy)
The AI predicted the fruit fly's behavior with good accuracy.
The next step for the AI is to make a system that emulates the neural system. The AI used microphones and cameras to observe fruit flies' behavior. The system observed sounds and movements that two fruit flies used in communication. And then, the AI connected those sounds and other signals with things that those fruit flies made. That allowed the AI to predict the fruit fly behavior.
The insects are talking. They use both acoustic and chemical signals to communicate. The acoustic signals are a more effective way to order things like swarms because pheromones fly with wind. The system can use acoustic signals to control their behavior.
This is one version of things that the learning machines can do. They can follow the sound and chemical signals. That the animals use in their communication. The spectrometer is one of the tools that can used to see what chemical signals the animal sends. Some insects use chemical signals only when they see each other.
Otherwise, they use acoustic signals. And when the AI hacks the insect's language it must just send the recorded acoustic signals to those insects. And then it can see, how those acoustic signals affect their behavior.
This might look like only a small step. But AI is becoming more and more effective. That means the AI can handle larger data masses, and maybe quite soon, it can predict the behavior of the more complicated animals. And maybe in the future. The AI can predict even a single human's behavior.
"With this schematic in hand, Cowley’s team can now turn their attention to interrogating their AI model instead of running costly experiments on real fruit flies. Credit: Cowley lab/Cold Spring Harbor Laboratory" (ScitechDaily, AI Predicts Fruit Fly Behavior With Stunning Accuracy)
The next generation of AIs uses the data structure. That is copied from the tapeworm (C. Elegansis) nervous system. The tapeworm is one of the simplest organisms with nervous systems. The tapeworms or their nervous system can used in biological microprocessors. And nanotechnology makes it possible to create small computers that act like neural systems.
The C. Elegansis worm is a very primitive organism. However, the AI can easily create far more complicated data structures. In the virtual nervous system, the computer programs and databases act like physical neurons in the nervous system.
In those neural emulation systems, the system involves virtual or physical neurons. In virtual systems, the neurons are programs that act like real neurons with databases, terminals, and connections. The morphing neural network can operate on multiple computers at the same time, and synchronize those virtual neuron's operations.
The 3D map of the human brain can used to model the most complicated neural structures. That we can imagine. The most powerful observation tools can make images of how those neurons interact. And that interaction can copied into the physical and virtual systems. The new quantum radars that use extremely thin radio waves can scan the brains.
Those quantum radars operate through nano-size antennas. The radio transmitter antennas can be as thin as one or two atoms. And those systems can see the magnesite bites in the brains. New ultrasound sonars where nanotubes act as miniature long-range acoustic devices (LRAD). Can scan the small neural structures that will not give radar echo.
https://datascienceacademy.ncsu.edu/2024/04/25/wormscanai-machine-learning-aging-analysis/
https://scitechdaily.com/ai-predicts-fruit-fly-behavior-with-stunning-accuracy/
https://scitechdaily.com/nanoscale-3d-mapping-reveals-revolutionary-insights-into-brain-structure/
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