🚀 World’s 1st Bio-Processor! 🔗 Uses 16 Human Brain Organoids (https://lnkd.in/d3zuhz4K), consumes a million times less energy than your typical digital chips. Swiss startup FinalSpark just launched an online platform giving you remote access to 16 brain organoids. 🧠💻 👾 FinalSpark’s Neuroplatform (https://lnkd.in/dXCpEMhp) is the first to let you dive into biological neurons in vitro. Their bioprocessors are insanely energy efficient – think a million times less power-hungry than digital processors! 🌱 By using these bioprocessors, which can learn and process info, we might seriously cut down the environmental impact of computing. 📉 According to their latest research (https://lnkd.in/diei4APb), training a large language model like GPT-3 eats up around 10 GWh – that’s about 6000 times more energy than an average European uses in a year. Imagine slashing that with biochips! 🌍✨ Energy costs could plummet after rolling out these bad boys. 🔋⚡ #TechRevolution #GreenComputing #BioTech
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So how am I not getting replaced again? 🧠 FinalSpark has just unveiled Neuroplatform, aiming to develop the world's first living processors using human brain organoids. These bioprocessors can learn and adapt like a human brain, using a million times less energy than traditional silicon chips. The potential for sustainability and efficiency is nuts! 🔬 Researchers can now remotely conduct experiments on these living processors, opening up new avenues for innovation in AI and synthetic biology. 🤔 Say these bioprocessors work as they claim and become super common, replacing every processor the plebs like us use. What will our world look like then? Let's hear your fun creative ideas in the comments below! FYI, my marketing guy made me add this part 🫣 #Biocomputing #SustainableTech #FutureOfComputing
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Meet ESM3 — an AI model revolutionizing biotechnology forever 🧬💻 This frontier language model can design and simulate new proteins, mimicking millions of years of natural evolution. In tests, it created a fluorescent protein 58% different from known structures — a leap that typically takes nature 500M years! 🤯 With 98B parameters trained on 1.8T tokens of biological data, ESM3 reasons over protein sequences, structures, and functions simultaneously. It brings us closer to a future where we can 'program' biology like computer code — potentially transforming healthcare, environment, and unlocking new frontiers across fields. EvolutionaryScale, created by ex-META researchers with $142M funding from Amazon and Nvidia, is leading this biotech revolution. 🔥 We're witnessing the dawn of an era where AI augments human intelligence to solve challenges once thought impossible. What possibilities excite you the most? 💬 Read more: https://buff.ly/4cirlXf #Biotech #SyntheticBiology #ProteinDesign #EmergingTech #FutureIsNow
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Meet ESM3 — an AI model revolutionizing biotechnology forever 🧬💻 This frontier language model can design and simulate new proteins, mimicking millions of years of natural evolution. In tests, it created a fluorescent protein 58% different from known structures — a leap that typically takes nature 500M years! 🤯 With 98B parameters trained on 1.8T tokens of biological data, ESM3 reasons over protein sequences, structures, and functions simultaneously. It brings us closer to a future where we can 'program' biology like computer code — potentially transforming healthcare, environment, and unlocking new frontiers across fields. EvolutionaryScale, created by ex-META researchers with $142M funding from Amazon and Nvidia, is leading this biotech revolution. 🔥 We're witnessing the dawn of an era where AI augments human intelligence to solve challenges once thought impossible. What possibilities excite you the most? 💬 Read more: https://buff.ly/4cirlXf #Biotech #SyntheticBiology #ProteinDesign #EmergingTech #FutureIsNow
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The next revolution in computing might not be silicon-based — but alive, breathing, and growing in a lab. ➡️ Last year, I took a deep dive into organoid intelligence and since then a lot has happened (https://lnkd.in/gFMuaUb2). As AI demands continue to outstrip our planet's resources, researchers are turning to these fancy new computing organisms. ➡️ These tiny, living clusters of neurons, part of the emerging field of "Organoid Intelligence" (OI), promise to deliver computational power with a fraction of the energy needed by today's silicon chips. A single human brain uses only 20 watts— equivalent to a light bulb — while the fastest supercomputer guzzles megawatts. ➡️ FinalSpark, a Swiss startup, has developed a bioprocessor built from 16 organoids, capable of handling complex tasks like pattern recognition and decision-making. Despite the excitement, challenges such as the organoids' short lifespan and the difficulty in scaling this technology raise questions about its practicality. ❓ Can living computers truly rival silicon, or is this a fascinating but ultimately impractical dream? Read the full story on Forbes: https://lnkd.in/gwkjxx5X #Organoids #Future #Computing #Brains #Ethics ---- 💡 𝗜𝗳 𝘆𝗼𝘂 𝗲𝗻𝗷𝗼𝘆𝗲𝗱 𝘁𝗵𝗶𝘀 𝗰𝗼𝗻𝘁𝗲𝗻𝘁, 𝗯𝗲 𝘀𝘂𝗿𝗲 𝘁𝗼 𝗱𝗼𝘄𝗻𝗹𝗼𝗮𝗱 𝗺𝘆 𝗻𝗲𝘄 𝗮𝗽𝗽 𝗳𝗼𝗿 𝗮 𝘂𝗻𝗶𝗾𝘂𝗲 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗯𝗲𝘆𝗼𝗻𝗱 𝘆𝗼𝘂𝗿 𝘁𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 - you can have real-time insights, recommendations (a lot more than I share here) and conversations with my digital twin via text, audio or video in 28 languages! Join >6000 users who went before and go to app.thedigitalspeaker.com to sign up and take our connection to the next level! 🚀
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https://lnkd.in/eqQt24KU A Swiss startup is entering the space of "biocomputer" Oversimplifying a bit is about building computers operating with organic biological materials, a bit like our brain. Just to give you the sense of where this could lead, let's read in the article the energy consumption perspective. "... One stark contrast between digital processors and bioprocessors is their potential for sustainability and reduced power consumption. While a single LLM such as GPT-3 requires 10 GWh (6,000x the yearly consumption of a European citizen), the human brain operates with approximately 86 billion neurons and consumes only 20 W of power. This suggests that bioprocessors, if one day viable, can act as sustainable replacements for an ANN..." #ai #artificialintelligence #machinelearning #biocomputing #bioprocessor
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Making Proteins Glow with AI Thomas Hayes and colleagues at EvolutionaryScale, a startup that recently raised $142 million (https://lnkd.in/eAW4iuZH) from Amazon Web Services (AWS), NVIDIA GPU Ventures and Lux Capital, have created ESM3, an AI model focusing on protein design. Their manuscript "Simulating 500 million years of evolution with a language model" introduces esmGFP, a new fluorescent protein. It's as bright as natural GFPs but with a vastly different sequence from its closest known relative. ESM3 doesn't just create glowing proteins. It can predict protein structures, identify functions, and design proteins with specific attributes. The team, which includes former Meta AI-biology researchers, suggests ESM3 acts like an evolution simulator, exploring protein possibilities nature hasn't yet discovered. The team used computational methods to filter and rank their designs before experimental testing, suggesting a combined approach of AI-driven design and computational screening. Beyond accelerating protein engineering for biotechnology and medicine, this technology could also custom-design innovative proteins for industrial processes. How do you think these technologies might reshape protein engineering and biotechnology in the coming years? Read the original preprint on bioRxiv: https://lnkd.in/eJfTSqh2 Look at the Github repository to explore the smallest and fastest model in the family, ESM3-open: https://lnkd.in/esmKMW2S #ProteinEngineering #AI #Biotechnology #SyntheticBiology #Innovation Image Credit: © EvolutionaryScale
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Unleashing the Power of Biology and Technology Together! Imagine a computer powered by living brain cells. Sounds like sci-fi, right? Well, the future is now! FinalSpark, a pioneering Swiss startup, has unveiled a groundbreaking biocomputer that leverages the power of 16 human brain organoids instead of traditional circuits. These bioprocessors, composed of living neurons, can learn, process information, and do so with unparalleled energy efficiency consuming a million times less power than conventional digital processors! Why is this a game-changer? ⦿Sustainability: Dramatically reducing the environmental impact of computing. ⦿Advanced AI: Mimicking the human brain's natural efficiency and learning capabilities. Over the past three years, FinalSpark's Neuroplatform has enabled work with over 1,000 brain organoids, generating more than 18 terabytes of data. This monumental effort has paved the way for the world's first living processor, heralding a new era in computing . Join the incredible journey of blending biology with technology to create sustainable, efficient, and advanced computing systems. The potential is limitless, and the future is bright. #Biocomputing #AI #Sustainability #Innovation #TechNews #FutureOfComputing #FinalSpark
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16 Lab-Grown Brains Power the World's First Living Computer! #BioTech #AI #Organoids #futuretech . . . #Inzint In a groundbreaking development, 16 lab-grown human brains have been assembled to create the world's first living computer, designed by the innovative startup Final Spark. This bio-computer, named BioCom, boasts an impressive feat: it uses a million times less power than a traditional digital computer processor. Final Spark has also launched an online neuro platform, allowing researchers to conduct experiments with BioCom remotely via a server. This breakthrough is made possible by the use of organoids, which are simplified mini versions of real organs. Organoids are grown in a dish using cells from living organisms and can mimic the forms and functions of an actual organ. By cultivating cells from the human brain, the researchers have created mini brains that can be harnessed for computing. To sustain these brain cells, a sophisticated system provides the necessary nutrients and hydration, ensuring their viability for approximately 100 days. Final Spark's BioProcessors represent a significant leap forward in reducing energy consumption. With the rise of AI, the search for energy-efficient solutions has become crucial to protecting our climate and infrastructure. According to technological research and consulting firm Gartner, AI is projected to consume 3.5% of global electricity by 2030—more than the entire country of Germany uses today. However, the human brain uses only a fraction of the energy required by a digital computer, positioning BioCom as a promising solution to AI's energy dilemma.
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This week on my Innovation Snaps newsletter, - Biggest bet on AI drug discovery, Xaira Therapeutics raises $1Billion - Oracle is updating its database Tech for AI & Chatbots. - Stanford University's, Fei-Fei Li, also called God Mother of AI, kickstarts an AI startup to bring "spatial intelligence" for machines - Analog Devices Precision Voltage Reference product ADR1001. - HighLevel - An all in one product, that intends to serve marketing & sales - Aston University researchers send data 4.5 million times faster than average broadband. And this innovation can use existing broadband infrastructure itself. - Dark - A company focussing on Space Security, including removing space debris - Extropic, builds Thermodynamic Computing, for Generative AI, & claims it will beat CPUs/GPUs/ TPUs For more details & direct inboxing of my newsletters, please subscribe to "Innovation Snaps" Newsletter at https://lnkd.in/e5j8KeuZ [Thanks to the promotional Image from DARK,MIT,Friend,Analog Devices & Extropic]
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Imagine a world where computers could 'think' as humans do. The zephyr of innovation is blowing across the field of computing, and at the eye of the storm is FinalSpark. A Swiss startup that has conjured up a bioprocessor - a marriage between machine and biological processing. Their creation - Neuroplatform uses 16 human brain organoids, taking steps towards replicating the natural wonders of human cognition in machines. The power? Just a million times less than your everyday digital processor. This radical hardware not only learns but also processes information, and simultaneously, slashes the environmental footprint of computing. However, these brain-like systems extend further than pure technology. They scratch at the surface of profound ethical implications. What does it mean for us when we blur the line between human intellect and machine processing? Obviously, it's an advance, but what are the costs? Is the future of technology held in the hand of biology, or will ethical boundaries pull us back from this precipice? #AI #BioComputing https://lnkd.in/ezZPaceB
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