#Biological Computers

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

Cortical Labs trained lab grown human neurons to play Doom. Their system, CL1, uses around 200,000 human brain cells grown on a microchip, creating a kind of biological computer. The neurons receive electrical signals from the game, respond with their own activity, and slowly improve through feedback. This is not about gaming. Doom is just a stress test for learning in a complex 3D world. The real goal is bigger: modeling neurological diseases, testing drugs, and studying how intelligence emerges from living networks. They previously taught the same setup to play Pong. Now it is learning Doom, which is a massive jump in complexity. The neurons are still beginners, but the direction is clear. Biology and computing are starting to merge. Would you ever trust future computers that run partly on living cells? #techchronicleai #biotech #science #futuretech #ai Credits: Cortical Labs

🚨 🤖 BREAKING: 🔥 In a mind bending scientific milestone, Australia’s Cortical Labs has trained approximately 200,000 living human neurons grown on a microchip to actually play the classic video game Doom, in real time and reacting to game events by moving, shooting, and learning from feedback. 🧠🎮 The team’s CL1 biological computer, the world’s first commercially code deployable hybrid of living brain cells and silicon hardware, converts Doom’s visual data into electrical stimulation that the neurons interpret and respond to, marking a breakthrough in real biological computing. This follows earlier experiments where neurons taught themselves Pong, but tackling Doom’s complex 3D gameplay represents a dramatic leap in adapting biological tissue for computation and opens the door to an entirely new era of wetware tech and Synthetic Biological Intelligence. 🧬⚡ Follow 👉 @horizontal.ai_ for daily insights that keep you ahead in AI, business, and tech⚡ #ai #robotics ⚠️ Copyright Disclaimer: All video rights belong to their respective owners. This content is shared under fair use for educational and informational purposes. DM for credit or removal.

👀 Explanation: 200,000 living human neurons learned to play Doom What once sounded like pure science fiction is now happening inside a real lab. Australian startup Cortical Labs built CL1, a biological computer that integrates around 200,000 human neurons grown on a microchip. These neurons receive electrical signals and, through feedback, begin recognizing patterns and adapting their responses. In experiments, the system was even able to play Doom, adjusting in real time based on the signals it received. The breakthrough hints at a future where artificial intelligence, neuroscience, and computing fully converge. The question is no longer whether it’s possible, but how far this technology can go—and whether one day computers could run on living cells instead of traditional silicon chips. 🧬 • Follow @artificialntellligence for more content on AI and technology. #ai #science #neuroscience #technology #future

They didn’t just run Doom on a computer. They grew one. Scientists at Cortical Labs trained around 200,000 lab-grown human neurons on a microchip — a system called CL1 — to interact with the video game Doom. The neurons receive electrical signals from the game and respond with activity patterns, gradually adapting through feedback. Earlier versions learned Pong. Now they’re handling a 3D environment. This isn’t about gaming. The goal is modeling neurological diseases, testing drugs, and studying how intelligence emerges in biological networks. It’s bio-computing in real time — silicon and living tissue working together. If computation can happen in cells… could future machines be partly biological? Breakthrough — or the beginning of something far stranger? 👇

Living human brain cells have just learned to play Doom This breakthrough was achieved by Cortical Labs, an Australian biotech startup that integrated approximately 200,000 living human neurons into their CL1 biological computer. The CL1 is the world's first commercially available biological computer. Media: corticalLab on yt Join Telegram(link in bio) to get source link 🔗

A dish of human brain cells… playing a video game. Scientists at Cortical Labs have trained lab-grown neurons to interact with Doom using a biological computing system called CL1. The setup contains around 200,000 human neurons grown on a microchip. These neurons receive electrical signals representing the game environment and respond with their own activity. Through feedback, the network gradually learns how to navigate the virtual world. While it sounds like science fiction, the goal isn’t gaming. Researchers hope systems like this could help study neurological diseases, test new drugs, and better understand how intelligence emerges from biological networks. In earlier experiments, the same approach learned to play Pong. Now it’s tackling the far more complex 3D environment of Doom. The neurons are still beginners, but the idea behind the technology is powerful: a future where computing may combine living biology and traditional silicon hardware. The real question is where this research leads next. Could the computers of the future run partly on living cells? ⸻ #BioComputing #Neuroscience #ArtificialIntelligence #CorticalLabs #FutureTech

🧠🎮 Living Human Brain Cells Just Learned to Play Doom 🚀 In a stunning biotech breakthrough, Cortical Labs, an Australian startup, has trained living human brain cells to play the classic game Doom. 🔬 Around 200,000 living human neurons were integrated into the company’s CL1 biological computer, allowing the cells to interact with the game environment and learn basic responses. 💡 The CL1 is being described as the world’s first commercially available biological computer, blending neuroscience with computing in a completely new way. 🌍 This experiment hints at a future where living neurons and machines work together, redefining how computing and artificial intelligence may evolve. 🎥 Media: corticalLab on YouTube 👉 Read Full Article Link in Bio @musicyricsnews & media.musicyrics.com #Biotech #CorticalLabs #BiologicalComputer #Neuroscience #FutureTech #ArtificialIntelligence #BrainCells #Innovation #TechBreakthrough #ScienceNews

Human brain cells… playing a video game. Not AI. Not a simulation. Actual living neurons. In this clip, ThePrimeagen reacts to a research article that shows how scientists have placed human brain cells on a silicon chip and connected them to a computer interface. Within about a week, the neurons began learning how to interact with the environment and play the classic game DOOM. This emerging field is called biological computing (or organoid intelligence). Instead of relying solely on silicon processors, such as GPUs and CPUs, researchers are exploring systems where living neurons process information. Scientists believe this research could help with: • Understanding how the brain learns • Creating more energy-efficient computing • Building new types of intelligent systems Although it’s still in the early stages of research, it raises a significant question about the future of computing. What happens when biology and computers start merging? Save this if you enjoy exploring the future of AI and technology. And tell me in the comments 👇 Would you trust a computer powered by real brain cells? --- FOLLOW @activeprogrammer to learn something new every day! #ArtificialIntelligence #BioComputing #FutureTech #TechNews #AIResearch 📹🗣️: @theprimeagen

What happens when living human neurons meet AI? Scientists grew 200,000 human brain cells on a silicon chip, trained them to play Pong and DOOM… and now those real neurons are being connected to an LLM to influence the tokens it generates. This is not simulation. These are actual biological neurons firing electrical impulses to guide AI output. The line between biological intelligence and artificial intelligence is starting to blur. The future of computing might not be purely silicon anymore. Credit: Cortical Labs #AI #ArtificialIntelligence #Neuroscience #BrainComputerInterface #BCI #BioComputing #NeuralNetworks #FutureOfAI #DeepTech #NeuroTech #SyntheticBiology #AIResearch #Technology #Innovation #Science #TechTrends #NextGenComputing #AGI #NeuralInterface #BiologicalComputing

In a massive leap for biotechnology, Australian startup Cortical Labs has successfully trained 200,000 living human brain cells grown on a microchip to "play" the classic video game Doom. By integrating these neurons into their CL1 biological computer, they have proven that lab-grown cells can actively learn, adapt, and interact with complex digital environments in real-time. #corticallabs #doom #biotech #biologicalcomputer #science #futuretech #innovation #techtrends #neuroscience #gaming #artificialintelligence

World's first biological computer built using human brain cells 🧠⚡ Scientists at Cortical Labs developed a groundbreaking system called DishBrain, where living human neurons are grown on a silicon chip and trained to process information. Instead of traditional transistors, this system uses real brain cells that can learn and adapt — blending biology with computing in a completely new way. If you really like anything from it. 💗 Please Follow 👉🏻: @right.mos #Biotech #Neuroscience #AI #FutureTech #Innovation