Mohamed Tawfik Khalifa’s Post

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

What if the future of AI isn’t silicon but human brain cells? 🧠  FinalSpark, a Swiss tech pioneer, has unveiled Neurospark: biocomputers powered by living human neurons. That’s right - living brain cells doing the computing!  These biocomputers could be up to 100,000 times more efficient than today’s systems, processing information like our brains and offering unparalleled learning capacity.  This fusion of biology and tech is both thrilling and unsettling. The potential is staggering, but so are the ethical and practical dilemmas.  Are we, as a species, truly ready for this leap? Or are we venturing into a realm beyond our current stage of development? The future is here - are we prepared to navigate it? 🌌 #AI #Innovation #TechRevolution #Biocomputers #FutureOfAI 

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

The potential for deep tech to reshape industries from healthcare to climate science is immense. Yet, harnessing this potential requires a nurturing ecosystem where collaboration and knowledge sharing are paramount. Jeremy Bradley , COO of Zama, emphasizes that deep tech spans fields like AI, quantum computing, and biotechnology. These areas demand significant R&D investment and expertise. Traditionally, innovation in these fields has been siloed, with companies guarding their advancements. However, Bradley advocates for collaboration, noting that sharing knowledge and resources can lead to more robust solutions and faster innovation. Collaborative ecosystems can optimize resources, reduce costs, and distribute risks, encouraging bold projects. Open-source initiatives like TensorFlow and PyTorch have demonstrated the power of community-driven innovation. #DeepTech #Collaboration #Innovation #AI #Biotechnology #QuantumComputing https://lnkd.in/gWEetqCq

Explore the future of computing with biocomputing, where living cells like human brain organoids are used to reduce AI's energy demands. Discover the ethical challenges, power efficiency, and potential applications of this groundbreaking technology https://hubs.la/Q02LQyxr0

"Where do I think the next amazing revolution is going to come? And this is going to be flat out one of the biggest ones ever? ...There's no question that #digital #biology is going to be it. For the very first time in our history, in human history, biology has the opportunity to be engineering, not science." Jensen Huang, CEO NVIDIA talks about the next $3-4B bio revolution and how NVIDIA will enable AI technologies in pharma and biotech. At Nest Catalyst Ventures we are ready to support life science scientists that use AI technologies to unlock the next revolution and bring solutions to lang standing problems in health, wellbeing and environment.

Slime molds are single-celled organisms capable of remarkable behavior, such as finding the shortest path to food sources and efficiently connecting different parts of their colonies. Researchers have drawn inspiration from these abilities to develop computational models known as “physarum-inspired algorithms.” These algorithms simulate the growth and movement of slime molds to solve complex optimization tasks, such as finding optimal routes in transportation networks, designing efficient communication networks, and optimizing resource allocation in distributed systems. By mimicking the decentralized and adaptive behavior of slime molds, these AI algorithms offer innovative solutions to optimization problems, demonstrating the potential of bio-inspired computing in solving real-world challenges. #slime #AI #artificial_intelligence #artificialintelligence #techlearning #technology #realworld #primathon #tech #corporate #molds #organisms

Exploring the Future of AI: Living Computers and the Power of Human Neurons As AI continues to grow, so does its demand for data storage and energy. A fascinating article from Scientific American highlights the incredible work being done by FinalSpark, a Swiss company creating computers powered by living human neurons. FinalSpark’s Neuroplatform offers a potential solution: biocomputers built from human-brain organoids. These living computers could one day replace traditional silicon-based systems, using 100,000 times less energy! This innovative approach pushes the boundaries of computing and sparks important ethical conversations about using human neurons in technology. FinalSpark is actively engaging with philosophers and researchers to navigate these complex issues. At Da Vinci Labs, we're excited to see how this cutting-edge research will shape the future of AI, making it more sustainable and, perhaps, even more human. Check out our article in The Codex, where we explore the potential of computers made with mycelial networks, another promising avenue in the future of biocomputing 👉 https://lnkd.in/d2deuauM Find out about bio computers here: https://lnkd.in/e_whziXT #Biocomputing #AI #Innovation #Sustainability #MycelialNetworks 

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