1.4M
ALShould I drop the method #foryou
@alex2learn
#Brain Computer Interface Breakthroughs
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21Trending Reels
(12)
149.7K
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
7.7M
LU🧠 MIT built a brain-computer interface without touching the brain.
While Neuralink needs skull surgery and robotic implants, MIT engineers created the MouthPad—a 0.7mm retainer that sits on the roof of your mouth.
It works like a wireless trackpad. Your tongue controls the cursor. Tap to click. Swipe to scroll. All via Bluetooth.
Over 100 paralyzed users are already using it daily—up to 9 hours straight. One college student with quadriplegia uses it to write math equations in the library where voice systems don’t work.
No surgery. No external wires. Just a custom-fit dental retainer with pressure sensors and a battery.
It’s available now for $1,500 while Neuralink is still in trials.
Would you try tongue-control or wait for the brain implant? 🤔
Save this if you’re into assistive tech innovation 🔖
Credit: @augmentaltech
MIT assistive technology, tongue controlled device, MouthPad, brain computer interface alternative, non-invasive BCI, paralysis technology, quadriplegia assistive device, MIT Media Lab innovation, Neuralink alternative, capacitive tongue sensor, hands-free computer control, wireless assistive tech, spinal cord injury technology
#AssistiveTechnology #MIT #BrainComputerInterface #Neuralink #DisabilityTech Paralysis MedicalInnovation TechForGood Accessibility WearableTech HealthTech Innovation Engineering Quadriplegia SpinalCordInjury FutureOfTech TechNews AIandTech ArtificialIntelligence
@luminica.ai
4.2K
KL🇨🇳🧠⚙️China's brain tech breakthroughs are challenging Elon Musk's Neuralink as the nation rapidly advances in brain-computer interface (BCI) technology to help paralyzed people speak, move, and walk.
CNN has gained special access to the Chinese Institute for Brain Research, which developed the semi-invasive Beinao-1 chip that recently enabled a speech-impaired ALS patient to communicate through a screen.
Backed heavily by state support and national initiatives, China is fostering a booming ecosystem of research, clinical trials, and commercial BCI applications.
Here's our report on the current state of the high-stakes neurotech race between China and the United States.
@stephenbekker @whatwoodbryansay
@klustout
2.0M
HAScientists developed a brain–computer interface so small that it could be placed between hair follicles.
@hashem.alghaili
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
14.4K
UNBrain-computer interfaces (BCIs) are devices that create a direct communication pathway between a brain’s electrical activity and an external output. Their sensors capture electrophysiological signals transmitted between the brain’s neurons and relay that information to an external source, like a computer, mobile device or robotic limb, which essentially lets a person turn their thoughts into actions.
Brain-Computer Interface Definition
A brain-computer interface (BCI) is a device that lets the human brain communicate with and control external software or hardware, like a computer, mobile device or robotic limb.
These brain chips go over the scalp in a wearable device, get surgically placed under the scalp or even get implanted within brain tissue. The idea is that, the closer the chip is to the brain’s neural network, the more clear, or “high definition,” a signal can be interpreted.
Perhaps the most popular example of a brain-computer interface is Neuralink, a chip that was implanted into a quadriplegic patient’s brain in 2024 and allows him to control a computer.
#newworldorder #nwo #agenda #illuminati #wakeup #conspiracy #conspiracytheory #truthseeker #covid #mkultra #truth #flatearth #trump #elonmusk #mindcontrol #nano #freemason #freemasons #thegreatreset #wakeupsheeple #freemasonry #depopulationagenda #neurolink #braincomputerinterface #freedom #g #depopulation #nanotech #markofthebeast #bci
@uncovering_hidden_truths
73.9K
HOBlink twice to hover and focus to select..
Imagine if you have to sit at a place, you can’t move and can’t speak for your lifetime. Suddenly it starts feeling like a hell. That is what ALS and paralysed people feel but we are here to change!
NPG Lite can record brain, muscles, heart and eyes signals (EEG, EMG, ECG & EOG). When we focus our brain produces more beta waves which we used to select the options and to hover blink eyes and NPG Lite detects the EOG signals generated by dipole of the eyes.
It’s a start, possibilities are endless with NPG Lite!
This project is made by @krishnanshu.99 @ritikamishra0044 and @aman_maheshwari_02 🔥
Our startup: @myupsidedownlab ❤️
#paralysis #projects #iot #research #technology #futuretech #als #startup #engineering #neurotech #bci #brain #neuroscience
@hoomans_of_upsidedownlabs
1.1M
TEIn a major breakthrough for brain computer technology, Rob Greiner, the sixth person to receive Neuralink’s “Telepathy” chip, is already playing video games and controlling a computer with his thoughts.
Just days after his June 14 surgery, the Idaho quadriplegic shared videos showing himself navigating games using only neural signals—no hands, no devices, just his mind.
Via: Greiner_ro52817 / X
#technology #computer #reels #education #history
@technology
2.3M
THLiving human brain cells are powering this computer and it's learning quickly!
@thefeedski
214.1K
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
102.0K
DRThis is a major breakthrough in the future of computing.
That pink liquid you see, it’s full of living human brain cells, and scientists just built a computer using them.
These neurons are grown in a lab and placed onto a silicon chip, bathed in a nutrient solution to keep them alive.
Together, they create what’s called a biocomputer, a machine that can actually learn and adapt on its own.
Here’s why this is insane:
The human brain can solve complex problems using 20 watts of power.
A supercomputer might need 40 million watts for the same task.
That’s two million times more efficient.
Biocomputers could help solve huge challenges like drug discovery, climate simulations, and advanced research way faster and with almost no energy cost.
But there’s one big problem.
Brain cells die if they aren’t kept at human body temperature, and computers generate tons of heat.
So keeping these living computers alive is the hardest part.
Companies like Cortical Labs already sell early biocomputers, and researchers believe we’re getting closer to stable, scalable versions.
🔥 Comment “HUMAN” and I’ll send you the full breakdown.
@drcintas
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