#Neuromorphic Computing Breakthroughs

You’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

Scientists at Cortical Labs have trained lab-grown human brain cells to play the video game Doom. The system, called CL1, combines about 200,000 human neurons grown on a microchip to create a kind of biological computer. These neurons receive electrical signals from the game and respond with their own activity, gradually learning how to navigate the environment through feedback. It sounds like science fiction, but the goal goes far beyond gaming. Researchers believe systems like this could eventually help model neurological diseases, test drugs, and explore how intelligence emerges from biological networks. In earlier experiments the same setup learned to play Pong. Now it can handle the far more complex 3D environment of Doom. The neurons are still beginners at the game, but the technology behind it points toward a new hybrid field where biology and computing start to merge. The bigger question is where this leads. Could future computers run partly on living cells instead of silicon? What do you think about this kind of bio-computer research? 👉 Comment “TOOLS” to get my 700+ AI Toolkit for free 🎥 Media: Cortical Labs #technews #technology #gaming #biotech #science

What if computers stopped using electricity and started using light…?🤯 We’ve hit a wall with silicon chips. Electrons can only move so fast and that’s what limits how quickly today’s GPUs can train AI. So researchers are building optical neural networks processors that compute using light, not electricity. They replace transistors with photonic circuits made of waveguides, mirrors, and modulators. When beams of light intersect, they perform calculations…addition, multiplication literally as light waves interfere. But how can light actually do math? Each laser pulse represents a number. When two pulses overlap, their amplitudes combine the foundation of matrix multiplication in neural nets. Companies like Lightmatter are already building these chips that can train AI 1,000× faster with a fraction of the power. #tech #stem #technology #techexplained

Massive 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

Scientists created artificial brain cells that can mimic human neurons.

🚨 Meet SpikingBrain 1.0 — the world’s first brain-inspired AI model. Built by researchers at the Chinese Academy of Sciences, it mimics how real neurons fire — focusing only on nearby words instead of scanning everything at once. ⚡ Runs 25–100× faster. 📉 Consumes < 2 % of the data. 🇨🇳 Powered by China’s own MetaX chips — no Nvidia needed. If real, this could redefine how we build and power the next generation of AI models — efficient, independent, and biologically inspired. 👉 Follow @theartificialintelligence for more future tech breakdowns. #SpikingBrain #AIInnovation #NeuralComputing #MetaX #ChineseAI #BrainInspiredAI #ArtificialIntelligence #LLM #FutureOfAI #TheArtificialIntelligence #EnergyEfficientAI #AIRevolution

🤯 Scientists at Cortical Labs have trained lab grown human brain cells to play the video game Doom. Their system, called CL1, grows about 200,000 human neurons on a microchip, creating a kind of biological computer. The neurons receive electrical signals from the game and respond with their own activity. Through feedback, the network slowly learns how to navigate the environment. It may sound like science fiction, but the goal is much bigger than gaming. Researchers believe systems like this could help study neurological diseases, test drugs, and understand how intelligence emerges from living neural networks. In earlier experiments the same platform learned to play Pong. Now it’s handling the far more complex 3D world of Doom. The neurons are still beginners, but the technology hints at a future where biology and computing begin to merge. The bigger question is where this leads. Could future computers run partly on living cells instead of silicon? What do you think about this kind of bio-computer research? 🎥: @corticallabs Follow @airesearches to stay updated on the world's most fascinating AI developments.

Der erste Brain Upload der Geschichte ist da – und er betrifft nicht uns, sondern eine Fruchtfliege. 🧠 Eon Systems hat das komplette Gehirn einer Fruchtfliege digital nachgebaut. 125.000 Neuronen. 50 Millionen Verbindungen. Dann haben sie dieses Gehirn in einen simulierten Körper eingesetzt – und die digitale Fliege läuft, putzt sich und frisst. Ganz von allein. Nicht programmiert. Nicht trainiert. Das gab es noch nie. Als nächstes: das Mausgehirn mit 70 Millionen Neuronen. Und langfristig? Ein menschliches Gehirn. 🎓 Lerne, wie man in 15 Minuten solche Reels erstellt mit deinem eigenen KI-Avatar: 👉 https://myablefy.com/s/nordvindai/skaliere-dich-selbst-ki-avatar-videos-in-15-minuten-1e957744 #NordvindAI #AlexTrupp #KünstlicheIntelligenz #KI #AI #BrainUpload #Neurowissenschaft #EonSystems #Technologie #Zukunft #Innovation #Tech #WholebrainEmulation #DigitalBrain #Science #Wissenschaft #Reels #Gehirn #MachineLearning #ArtificialIntelligence

OpenAI has developed a specialized AI model that successfully redesigned Nobel Prize-winning proteins to reverse cellular aging with 50-fold greater efficiency. Working with longevity startup Retro Bio, researchers used GPT-4b micro, a model trained on biological data rather than text, to reengineer Yamanaka factors, proteins that reprogram adult cells into stem cells. The original 2012 discovery converted less than 0.1% of cells over weeks, but the AI-designed versions achieved over 30% success rates and demonstrated superior DNA damage repair capabilities. Multiple labs validated the results across different cell types and delivery methods, suggesting the approach could dramatically accelerate regenerative medicine and aging research from decades to weeks. #trendingreels #ai #biotech #technology #future #medical #research #science

Follow (us) @Explaining to learn something NEW every single day 🧠💫 Scientists at Cortical Labs created a remarkable experiment where living human brain cells grown in a petri dish were connected to a computer and taught to play the classic video game Doom. The system used about 200,000 living neurons placed on a microchip that could send and receive electrical signals between the cells and the game 🧠 To make it work, researchers converted the game’s visuals and events into patterns of electrical stimulation that the neurons could “sense.” When the neurons responded with certain electrical activity, the computer translated those signals into actions in the game, such as moving or firing a weapon 🎮 Although the brain cells play at a very basic level, the experiment showed that biological neurons can learn and adapt in real time while interacting with a digital environment. Scientists see this as a major step toward biological computing, where living cells could help power future technologies. Let us know your thoughts below! • #explore #reels #learn #technology

Day 177 of watching tech evolve. ⬇️�Professor Shiming Zhang and the HKU-WISE team developed the world’s first fully biocompatible, soft, three dimensional semiconductor. Built from hydrogel materials, these chips feature tissue-like structure and real depth, allowing direct interaction with living cells. The research, featured on the cover of Science, marks a major step toward future biohybrid electronics and medical technologies. Discover more for daily breakthroughs at the intersection of technology and AI.�IG ➕ @deepen.ai�Get your FREE 100+ Prompt Anatomy to brainstorm, create & scale faster ⚙ I left the link in bio! Credit: The University of Hong Kong, HKU-WISE�DM for credit or removal (no copyright intended) #bioelectronics #softsemiconductors #futuremedicine #biotech #neurotechnology

Neurons form connections 🧠 Every decision you make in business is wiring your brain. When you stay in the same deals, the same risks, the same conversations… you reinforce the same neural pathways → which means the same results. But when you step into bigger rooms, higher-level investments, uncomfortable negotiations… your brain is forced to adapt. New actions → new neural connections → new standards. That’s neuroplasticity. For real estate investors and high-level entrepreneurs, this means: You don’t “become” successful first… You wire yourself into that identity through repetition. The way you think about money. The way you handle pressure. The way you move when things feel uncertain. That’s not personality — that’s programming. And the moment you change the inputs, you change the outcomes. 🎥 nanolive #neuroscience #entrepreneurmindset #neuroplasticity #wealthbuilding #highperformance