1.2M
ALShould I drop the method #foryou
@alex2learn
#Brain Computer Interfaces Explained
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RIYou’re looking at a real neural network. Not the machine learning kind. The biological kind.
Everyone’s building bigger models. I’m building a brain.
I built a neuromorphic AI platform with 1 million spiking neurons, 11 brain regions, and 1.2 billion connections. It doesn’t memorize training data. It learns continuously from real experience, the same way a biological brain does.
The reason I started building this is pretty simple. Every time an AI model gets smarter, it costs more energy, more hardware, more money. A single query to a large language model uses more power than running this entire brain for an hour. That math doesn’t work long term, and I don’t think brute force compute is how intelligence actually works in nature.
So I went the other direction. This system runs on a single CPU, uses less than 5 watts, and never stops learning. No retraining. No massive datasets. No data center. It forms its own concepts, builds associations between things it sees and hears, develops reflexes, and adapts to situations it’s never encountered before. All on its own.
The architecture is modeled after real neuroscience. There’s a sensory cortex for vision, audio, and touch. An association cortex that binds those signals together. A predictive layer that anticipates what comes next and pays more attention when it’s wrong. Motor cortex for movement and speech. A brainstem that manages energy and survival. Every connection strengthens or weakens based on experience. Nothing is hardcoded.
One thing I built in from the start is a safety kernel. Every motor command the brain generates passes through a safety supervisor before it can reach the real world. It checks joint limits, force thresholds, and collision boundaries. If something looks dangerous, the system triggers a reflex withdrawal before the action ever executes. The brain can learn freely, but it can’t act without clearance. That’s not a feature I added later. It’s part of the architecture.
The brain is live right now and will disclose demos to serious individuals. I am looking for researchers that would like to join me in neuromorphic hardware/computing for this next shuttle.
Patent pending
@rio_roue
363.5K
NIwould you do this? 👀
@niickjackson
3.7K
NUFor most of human history, animal sounds were just noise to us.
But with all the advances in AI and brain computer interfaces, we're close to figuring out what all the 'noise' actually means.
The video shows a bird making sounds while AI analyzes the audio in detail. The visuals represent patterns in pitch, rhythm, and repetition over time. AI can spot structure in these sounds that humans usually miss.
By linking sound patterns to behavior and context, AI can start grouping calls and inferring intent like alarms, coordination, or social signals. It’s not translating language, but it is mapping meaning.
AI turns what sounds like noise into something we can study at scale.
What would be the first think you'd ask your own animal? 🤔💬
@nuscienta
1.9M
KAMassive breakthrough…Scientists are using living brain cells to build computers that are ALIVE!
This is a brand new industry of technology called biocomputing.
These are real human neurons that can actually think and learn for themselves.
When scientists combine them with silicon chips they bring the computer to life.
Now if you’re like me, you’re probably wondering one thing…
Why are scientists doing this?
It feels a bit much to be growing human brains just to put them inside of computers.
Well listen to this…it turns out, human brain cells have extremely rare abilities to process things without being trained.
Normal computers need to be taught how to solve certain problems.
It’s why AI models take so much energy and training data to build.
But as soon as you add brain cells to a computer chip, they don’t really need as much training.
They kinda start figuring out what to do on their own, just like a human would.
Now because of this, these biocomputers are super efficient.
A regular supercomputer might use 40M watts of power to solve a complex task.
The human brain can do it in just 20.
That’s 2M times more efficient.
And this means these biocomputers could become the secret weapon to solving humanity’s hardest computational challenges.
But…there is just one massive problem…
Brain cells tend to die when their temperature deviates from 98.6 degrees.
And computers generate a ton of heat.
So we have this wild situation where living computers might be the solve for everything, but it’s almost impossible to keep the brain part alive.
Today, companies like Cortical Labs are selling these biocomputers for $35,000.
But over time, scientists are gonna figure out how to get them stable & more accessible.
It’s wild to say but I think soon we’re gonna have living computers that literally think like humans.
Follow @kallaway for more videos on tech & AI
#ai #artificialintelligence #tech #technology #computing #computer #future #coding #newtech
@kallaway
2.0M
HAScientists developed a brain–computer interface so small that it could be placed between hair follicles.
@hashem.alghaili
2.4M
CLElon Musk says his company Neuralink just implanted its first brain chip into a HUMAN. Here’s how this works and why it matters:
Neuralink is working on brain-computer interfaces to try to let people control a computer with just their thoughts. They’re calling this first product “Telepathy” which… fits. The actual implant is a small electronic chip with sensors that can detect brain signals and then wirelessly send them to an app, which decodes them into actions.
They first controversially tested this on monkeys, and then back in September, the FDA approved Neuralink for its first human trials. This first human test is just to evaluate the safety of the implant and surgical robot. There are very few details so far, but Musk says that the implant is detecting neuron spikes - meaning it’s reading the electrical and chemical signals sent by the brain, which seems promising!
If you like optimistic science and tech like this, follow for more videos.
#tech #science #elonmusk #neuralink #brain #stem #animation #braincomputerinterface
@cleoabram
23.8K
AI💻✨ Inside the Machine: The Hidden Symphony of Computers ⚙️🌐
From the outside, it’s just a box.
But open it, and you find a city of circuits — a humming universe where electricity becomes thought.
⚡ 1. The CPU — The Brain.
Every click, every command, every digital dream starts here. It thinks at lightning speed, juggling numbers so fast they turn into experience. The CPU doesn’t rest — it calculates existence. 🧠💥
🧬 2. The Motherboard — The Heart & Highways.
Wires, sockets, and circuits weave like neural pathways. It connects everything — memory, power, logic, and soul. It’s less a board and more a nervous system made of copper.
⚡ 3. The RAM — The Short-Term Memory.
Fast, fleeting, forgetful. RAM holds thoughts midair — the open tabs, the running programs, the half-formed digital daydreams. Turn the power off, and it lets them all go.
💾 4. The Storage — The Memory of Time.
Hard drives, SSDs — the archives of your digital life. Every photo, every file, every forgotten download sleeps here, waiting to be summoned.
🎨 5. The GPU — The Artist.
Pixels, shaders, reflections — all rendered by this visual magician. It turns math into color, data into beauty, and makes the unreal visible. 🖌️💫
🔌 6. The Power Supply — The Pulse.
Quiet, steady, indispensable. It feeds the machine’s hunger for energy, turning chaos from the wall socket into calm, stable current.
❄️ 7. The Cooling System — The Breath.
Fans whirl, liquid flows, temperatures balance. Without it, ambition melts — literally. It’s the unsung guardian of performance.
🧩 8. The Case — The Skin.
Protective, stylish, glowing with LEDs or silent in matte black. The case doesn’t just hold — it frames the machine’s identity.
💫 The Truth of the Machine:
A computer isn’t cold or lifeless — it’s rhythm, light, and logic bound together.
It doesn’t just compute — it creates, turning electricity into imagination.
Because somewhere between code and current, it learns to think in color. 🖥️⚡🌌
#viral #trending #reelitfeelit #trendingreels #knowledge
@aimaginate_ai
26.4K
HUScientists reconstructed videos people were watching by reading their brain activity with fMRI scans
In 2011, UC Berkeley researchers published a breakthrough study showing they could decode visual experiences directly from brain signals. Participants watched Hollywood movie trailers while fMRI scanners recorded neural activity in their visual cortex in real time.
The team built a computational model that mapped specific visual patterns from the videos to corresponding brain signals. They then validated this model using a database of YouTube videos to predict brain responses to new content. The system could reconstruct moving images based solely on neural activity patterns.
The reconstructed videos weren't perfect copies, but they captured the general structure, motion, and content of what participants were viewing. This demonstrated that visual experience creates distinct, readable patterns in brain activity that can be decoded with the right algorithms.
This research laid groundwork for brain computer interfaces and neural decoding technology. It showed that human perception creates measurable signatures in the brain that machines can interpret and translate back into visual information.
Love technology? Follow @human.ai.zed
Credits: @ucberkeleyofficial
#neuroscience #braintech #fmri #neuraltech #sciencebreakthrough
@human.ai.zed
2.3M
THLiving human brain cells are powering this computer and it's learning quickly!
@thefeedski
2.5K
VIComplex system? EASY.
Women? Error 404🤯.
#engineeringlife #viralreels #explorepage✨ #explore #
@vibesofveer08
701.8K
NENeuralink’s mind-mapping technology takes implant placement to the next level with its multi-scanning superpower! 🧠✨
MRI and CT scans team up to create a detailed map of your skull, while fMRI scans pinpoint the perfect spot for our electrodes to park. This precision targeting means our implant can tap into your brain’s coolest features without causing any unwanted side effects.
Neuralink is like the GPS for your brain, guiding us to the most epic destinations!
#Neuralink #braincomputerinterface #futureofneuroscience
@neura.link
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