Comment on ''DNA Frequency Bioweapon Links Targeted Individuals to Artificial Intelligence Hive Mind Control Grid'' by rick

Parent Post: "DNA Frequency Bioweapon Links Targeted Individuals to Artificial Intelligence Hive Mind Control Grid"

rick · 7/11/2025, 1:55:58 AM · permalink

Excerpt.
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“Potentially, computing may ultimately become an activity with no ecological footprint,” Jordan said.

Did you know the Ozarks are not actual mountains?

A graphic representing the Neuroplatform’s set up. (COURTESY: FinalSpark)

The Neuroplatform

The Neuroplatform is made up of 16 spherical brain organoids, or miniature human brains grown in a lab.

The organoids that the Neuroplatform gives access to are made up of about 10,000 living neurons from stem cells derived from human skin tissue, according to Jordan.

These tiny spheres, about 0.5 mm (0.02 in) wide, are kept in sterile incubators at body temperature, provided with water and nutrients and connected to an electrical circuit with small electrodes, according to the founders’ research paper in Frontiers.

Using these specialized electrodes, scientists can send electrical signals into brain organoids and measure the resulting responses.

“\[The Neuroplatform\] enables researchers to test ideas without having to setup a biological lab and hire all the dedicated personnel,” Jordan said.

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The lab is available to researchers 24/7, uses real human neurons and uses the Python programming language, creating a “dream bridge between biology and data scientists,” according to Jordan.

After accessing the provided login/password, researchers gain the ability to remotely send electrical signals to neurons and receive their responses. It is then the responsibility of researchers to devise optimal algorithms for controlling the behavior of the organoids.

Users can mimic memory function by using periodic electrical stimulation to reinforce synapses through repetition, thus making desired pathways stronger.

Researchers do this by training the organoids through a reward system. The organoids are rewarded with dopamine, the neurotransmitter responsible for pleasure (and addiction).

Meanwhile, as “punishment,” the organoids are exposed to chaotic stimuli, such as irregular electrical activity.

A live view of the biochips working in real-time can be found at www.finalspark.com/live.

These tiny spheres, about 0.5 mm (0.02 in) wide, are kept in sterile incubators at body temperature, provided with water and nutrient

https://www.nwahomepage.com/news/brain-power-swiss-startup-powers-computers-with-mini-human-brains/

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rick · 7/11/2025, 2:03:59 AM · permalink

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Neuroscience/Brain Science

Researchers have created a "biocomputer" made up of lab-grown human brain tissue and electronic circuits that they say can perform tasks including voice recognition.

As detailed in a new paper published in the journal Nature Electronics, the researchers morphed bundles of human cells called "organoids" into neurons, and paired them up with electronic circuits to create a system they dubbed — wait for it — "Brainoware."

The idea is to build a "bridge between AI and organoids," as coauthor and University of Indiana bioengineer Feng Guo told Nature, and leverage the efficiency and speed at which the human brain can process information.

"We wanted to ask the question of whether we can leverage the biological neural network within the brain organoid for computing," he added.

Ultimately, the hope is to have brain-inspired biological computers perform tasks on behalf of conventional AI — while also providing scientists with an exciting new way to study the human brain.

In a series of experiments, the team hooked up their organoid mini-brain to a plate made up of thousands of electrodes. They then sent data in the form of a series of electric pulses to the organoid and "decoded" what it spat out using a machine-learning algorithm.

Using their system, the team was able to perform voice recognition after feeding the Brainoware 240 recordings of eight people speaking.

The audio was first translated before being sent to the organoid. Each person's speech was met with a different reaction in the form of neural activity by the organoid.

Once the AI was trained on these responses, the researchers found that Brainowave was able to pinpoint the original speaker 78 percent of the time.

According to Nature, researchers are also excited to discover new ways to study the human brain, as well as as well as neurological disorders like Alzheimer's, by replicating its architecture in a lab setting.

However, scaling up their mini-brains to ones large enough to complete more complex tasks will likely prove difficult, as cultivating the cells is an expensive and laborious process.

But it's nonetheless an intriguing new development in the field of biocomputing that could pave the way for brain-inspired computers in the future.

https://futurism.com/neoscope/computer-human-brain-cells-perform-voice-recognition

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**"Brain" In A Dish Acts As Autopilot Living Computer"**

downloadable pdf

A University of Florida scientist has grown a living “brain” that can fly a simulated plane, giving scientists a novel way to observe how brain cells function as a network.

The “brain” — a collection of 25,000 living neurons, or nerve cells, taken from a rat’s brain and cultured inside a glass dish — gives scientists a unique real-time window into the brain at the cellular level. By watching the brain cells interact, scientists hope to understand what causes neural disorders such as epilepsy and to determine noninvasive ways to intervene.

As living computers, they may someday be used to fly small unmanned airplanes or handle tasks that are dangerous for humans, such as search-and-rescue missions or bomb damage assessments.

![image](https://us-lax-1.linodeobjects.com/sojooo/comments/1278/1752230685896-131841bb076beae1.png)
Thomas DeMarse holds a glass

dish containing a living network of 25,000 rat brain cells connected to an array of 60 electrodes that can interact with a computer to fly a simulated F-22 fighter plane.

“We’re interested in studying how brains compute,” said Thomas DeMarse, the UF assistant professor of biomedical engineering who designed the study. “If you think about your brain, and learning and the memory process, I can ask you questions about when you were 5 years old and you can retrieve information. That’s a tremendous capacity for memory. In fact, you perform fairly simple tasks that you would think a computer would easily be able to accomplish, but in fact it can’t.”

While computers are very fast at processing some kinds of information, they can’t approach the flexibility of the human brain, DeMarse said. In particular, brains can easily make certain kinds of computations — such as recognizing an unfamiliar piece of furniture as a table or a lamp — that are very difficult to program into today’s computers.

“If we can extract the rules of how these neural networks are doing computations like pattern recognition, we can apply that to create novel computing systems,” he said.

DeMarse’s experimental “brain” interacts with an F-22 fighter jet flight simulator through a specially designed plate called a multi-electrode array and a common desktop computer.

“It’s essentially a dish with 60 electrodes arranged in a grid at the bottom,” DeMarse said. “Over that we put the living cortical neurons from rats, which rapidly begin to reconnect themselves, forming a living neural network — a brain.”

The brain and the simulator establish a two-way connection, similar to how neurons receive and interpret signals from each other to control our bodies. By observing how the nerve cells interact with the simulator, scientists can decode how a neural network establishes connections and begins to compute, DeMarse said.

When DeMarse first puts the neurons in the dish, they look like little more than grains of sand sprinkled in water. However, individual neurons soon begin to extend microscopic lines toward each other, making connections that represent neural processes. “You see one extend a process, pull it back, extend it out — and it may do that a couple of times, just sampling who’s next to it, until over time the connectivity starts to establish itself,” he said. “(The brain is) getting its network to the point where it’s a live computation device.”

To control the simulated aircraft, the neurons first receive information from the computer about flight conditions: whether the plane is flying straight and level or is tilted to the left or to the right. The neurons then analyze the data and respond by sending signals to the plane’s controls. Those signals alter the flight path and new information is sent to the neurons, creating a feedback system.

“Initially when we hook up this brain to a flight simulator, it doesn’t know how to control the aircraft,” DeMarse

said. “So you hook it up and the aircraft simply drifts randomly. And as the datacome in, it slowly modifies the (neural) network so over time, the network gradually learns to fly the aircraft.”

Although the brain currently is able to control the pitch and roll of the simulated aircraft in weather conditions ranging from blue skies to stormy, hurricane-force winds, the underlying goal is a more fundamental understanding of how neurons interact as a network, DeMarse said.

“There’s a lot of data out there that will tell you that the computation that’s going on here isn’t based on just one neuron. The computational property is actually an emergent property of hundreds or thousands of neurons cooperating to produce the amazing processing power of the brain.”

With José Principe, a UF distinguished professor of electrical engineering and director of UF’s Computational NeuroEngineering Laboratory, DeMarse has a $500,000 National Science Foundation grant to create a mathematical model that reproduces how the neurons compute.

Thomas DeMarse, tdemarse@bme.ufl.edu

Carolyn Gramling

https://research.ufl.edu/publications/explore/v10n1/extract2.html

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