JSA LAABS’ Post

Mindreading has long been the stuff of dreams, but as technology continues to push boundaries, are we closer than ever to making it a reality? EPFL researchers just introduced a miniature brain-machine interface (MiBMI) that translates thoughts into text and could transform patient care across many conditions Here’s how it works: 👉 Mini Chip, Major Impact: The MiBMI is a mere 8mm² but offers a fully integrated, low-power solution that decodes brain signals into text. 👉 Real-Time Brain-to-Text: Unlike traditional BMIs, MiBMI processes neural activity on-chip—no external computers needed! 👉 AI-Driven Precision: Advanced AI analyzes neural codes, translating thoughts into text with 91% accuracy. Future Applications? From speech decoding to movement control, MiBMI could offer life-changing solutions for patients with ALS, spinal cord injuries, and more. #Neurotech #PharmaInnovation #BrainMachineInterface #AI #FutureOfHealthcare

Whoa, hold onto your hats, folks! 🚀 Ever wished your AI could think faster than a speeding bullet and use less energy than your grandma's nightlight? Prepare to have your mind blown! 🤯 MIT researchers just unveiled a photonic processor that could totally revolutionize AI computations. Think ultrafast speeds AND extreme energy efficiency – we're talking a game-changer. This isn't some far-off sci-fi dream; it's happening now. Here's the lowdown: 👉 Photonic processors use light instead of electricity, making them incredibly fast. ➡️ This translates to AI that can learn and respond in a blink of an eye. ⚡ ➤ And the best part? It's super energy-efficient! Hello, sustainable AI! 🌎 So, what does this mean for you and me? Well, imagine self-driving cars that react instantly, medical diagnoses happening in seconds, and personalized AI assistants that are actually, you know, helpful. The possibilities are mind-boggling! 🤩 But here's the thing that really gets me thinking... if we can harness the power of light to make AI this efficient, what other amazing innovations are just around the corner? 🤔 What previously impossible breakthroughs could we achieve? Let's discuss! What are YOUR thoughts on this incredible advancement? Will photonic processors truly revolutionize AI? Share your predictions and opinions in the comments below! 👇 Let's spark a conversation! And don't forget to share this post with your network – let's spread the word! #PhotonicAI #MITInnovation #SustainableAI #FutureofAI #AIRevolution

So, to Continue our exploration of biohybrid materials this week, imagine for one minute, that we could craft biohybrid limbs from aerogels and also integrate advanced electronic components like biohybrid transistors into this structure. These transistors, engineered to mimic biological processes while leveraging cutting-edge semiconductor technology, could serve as the neural interfaces within these biohybrid limbs. By interfacing directly with the nervous system, these biohybrid transistors could enable seamless communication between the artificial limb and the user’s brain, facilitating natural and intuitive control over movement and sensation.” This is what is being discussed when we refer to innovations such as Neuralink, envisioning a future where biohybrid limbs not only restore lost functionality but also enable seamless interaction between humans and machines. By embedding biohybrid transistors as neural interfaces within aerogel-based biohybrid limbs, we can bridge the gap between biological and synthetic systems, allowing for natural and intuitive control over movement and sensation. This theory of evolution in prosthesis, opens doors that we did not think possible previously, which could develop how we categorise artificial intelligence, and could represent a shift in How we perceive it moving forward. Traditionally, AI has been categorised into narrow or weak AI, which is designed to perform specific tasks, and general or strong AI, which exhibits human-like intelligence and can perform a wide range of cognitive tasks. However, the integration of biohybrid technology blurs the lines between artificial and biological systems, leading to the emergence of a new category of AI: biohybrid AI. Biohybrid AI refers to artificial intelligence systems that incorporate biological components or mimic biological processes to enhance their capabilities. In the context of biohybrid limbs, the incorporation of biohybrid transistors as neuralink have accomplished, publishing last week, the advantages neuralink interfaces can do, backs up this theoretical argument. So does this new paradigm in neural networks underpin that data centrics may not lead the way in the future of artificial intelligence, what are your thoughts. #artificialintelligence #biohybrid #robotics #bioengineering #softtissue #materialscience #aiadvancements

Recently, I watched a TED talk, "The Last 6 Decades of AI — and What Comes Next", with Ray Kurzweil, a computer scientist and futurist. With 61 years (!) of experience in AI, Kurzweil gives a deep look at its evolution 🔎 He reflects on the AI development from the 1956 Dartmouth conference, where it was first named, to the present days. Interestingly, Kurzweil emphasizes our human ability to create tools that lead to exponential growth in computational power, like GPT-4. Ray also said artificial general intelligence (AGI), a software with human-like intelligence, is just a few years away 🙌 He highlights AI's transformative potential, especially in medicine, where it accelerates vaccine development and promises new cancer treatments. Looking ahead, Kurzweil envisions AI extending our lives and enhancing our cognitive abilities 🧠 He predicts that by the 2030s, nanotechnology will connect our brains to the cloud, expanding our intelligence. This video is a must-watch if you're interested in AI! The link: 💻 https://lnkd.in/d2dv8cQ2 #aipredictions #aifuture #aiforbusiness #tedtalk #ai

To date, AI's energy usage is one of the most concerning aspects of the technology, with some predictions putting it's nupcoming global energy needs in the double digits. There's already been a lot of efficiency improvements... But this piece of news was somewhat unexpected! **"Revolutionizing AI: Human Neurons Powering Biocomputers"** The world of artificial intelligence (AI) is making strides with biocomputing, an innovative approach using human neurons to build computer architecture, as highlighted by Jordan Kinard in Scientific American. Swiss firm FinalSpark has developed the "Neuroplatform," leveraging human-brain organoids linked with electrodes to simulate brain learning processes. This new technology offers a significant reduction in energy consumption—up to 100,000 times less than traditional silicon-based systems—making AI more sustainable. The Neuroplatform is accessible for research purposes at $500 a month. However, there are challenges and ethical concerns, including the organoids' limited lifespan and the potential for consciousness. FinalSpark is addressing these issues collaboratively. Potential business applications span environmental monitoring, healthcare diagnostics, and AI training services. This pioneering frontier in AI poses the compelling question of whether biocomputing can render AI both more powerful and ecologically responsible. Read my full blog post: Read original article here: https://buff.ly/3X7NcLS Image Credit: FinalSpark (Four clusters of living neurons are connected to electrodes on FinalSpark's Neuroplatform chip.) #Biocomputing #AI #Neuroplatform #SustainableTechnology #Bioethics

Did you know that computers can now smell? 🤔 In a groundbreaking fusion of neuroscience and artificial intelligence, OSMO (www.osmo.ai), launched in 2023 with $60M Series A funding from Google Ventures, is revolutionizing how we understand our most primal sense - smell. 🧬 The Science behind Digital Scent Using sophisticated graph neural networks trained on 5,000+ molecules, OSMO's platform operates through: • Reading: Converting molecular compounds into digital data ̐• Mapping: Creating standardized frameworks using AI • Writing: Transforming digital data back into perceivable scents OSMO's breakthrough lies in its sophisticated machine learning approach: • Uses graph neural networks to analyze molecular structures • Maps complex atomic bonds and their influence on scent perception • Achieves prediction accuracy surpassing human capabilities • Creates new scent molecules through generative AI Real-World Impact 🌟 1. Healthcare: Digital olfaction shows remarkable potential in early disease detection. Just as ancient physicians used smell for diagnosis, AI-powered devices can now detect distinct metabolic signatures in breath samples, potentially identifying conditions like Parkinson's and Alzheimer's before traditional symptoms appear. 2. Scientific validation: The platform's effectiveness has been validated through collaborations with the Monell Chemical Senses Center, University of Reading, and Arizona State University. 3. Industry impact: The global AI market, valued at $136.55B in 2022, projects a 37.3% CAGR through 2030. OSMO has already introduced three groundbreaking scent molecules, including Glossine, demonstrating practical applications in the fragrance industry. 📈 🔬 Explore more: @OSMO (www.osmo.ai) @OVRTechnology (www.ovrtechnology.com) @MonellCenter (www.monell.org) #DigitalOlfaction #AI #BioTechnology #Innovation #STEM #DataScience Follow STEM Calculator for more.

🚀 Exciting Breakthrough in AI: Neural Oscillation-Inspired Communication Protocols! 🌐 I’m thrilled to share my ground-breaking approach that could redefine how we think about AI systems. My latest article explores Neural Oscillation-Inspired Communication Protocols, Homeostatic Plasticity Mechanisms and Biologically Inspired Attention Systems all integrated with Hyperdimensional Computing and Neuro-Symbolic AI. This isn’t just another AI model—it’s a leap forward in creating systems that are more robust, adaptive and interpretable drawing directly from the mechanisms of the human brain. From dynamic oscillatory communication to biologically inspired stability mechanisms, this fusion captures the essence of cognitive intelligence while achieving remarkable computational efficiency. These innovations pave the way for applications in robotics, healthcare, autonomous systems and beyond—ushering in a future where AI doesn’t just process data but reasons, adapts and collaborates like never before. Dive into the details, mathematics and potential of this revolutionary approach in my latest Medium article. I can't wait to hear your thoughts and collaborate on pushing these ideas further! 👉 Read here #ArtificialIntelligence #NeuroSymbolicAI #HyperdimensionalComputing #Innovation #Robotics #AIResearch #MachineLearning #BreakthroughTechnology

🚀 Introducing Organized Intelligence (OI) 2030: The Future of Intelligence! 🚀 In 2030, we are witnessing a groundbreaking shift in the realm of artificial intelligence with the advent of Organized Intelligence (OI). This revolutionary technology is set to redefine our understanding of intelligence and computing. 🌟 What is Organized Intelligence (OI)? Organized Intelligence (OI) leverages the power of 3D cultures of human brain cells, known as brain organoids, to create a new form of biocomputing1. These brain organoids mimic the structure and function of the human brain, enabling unprecedented levels of learning and adaptation2. 🔍 How OI Differs from Present AI: Biological Basis vs. Digital Algorithms: OI: Utilizes neural stem cells to form complex neural networks, closely resembling human brain functions1. AI: Relies on digital algorithms and vast datasets to simulate intelligence3. Learning Mechanisms: OI: Learns through feedback and self-organization, allowing for rapid adaptation and more human-like learning processes3. AI: Learns by analyzing patterns in large datasets, improving progressively over time3. Energy Efficiency: OI: More energy-efficient compared to traditional AI systems, potentially reducing the environmental impact of computing4. AI: Requires significant computational power and energy, especially for large-scale models4. Complex Problem Solving: OI: Capable of handling complex decision-making and problem-solving tasks with greater efficiency and accuracy4. AI: While powerful, can struggle with tasks requiring nuanced understanding and adaptability4. 🌐 Why OI Matters: Enhanced Understanding of Human Brain Function: Provides deeper insights into neurological processes and disorders2. Personalized Medicine: Enables the development of tailored treatments for neurological conditions2. Innovative Drug Testing: Facilitates faster and more accurate drug development, reducing reliance on animal testing2. Join us on this exciting journey as we explore the limitless possibilities of Organized Intelligence. Let’s shape the future together! 🌍💡 #OrganizedIntelligence #OI2030 #FutureOfAI #Biocomputing #Innovation #TechRevolution 1: Frontiers in Science 2: Forbes 3: Tech Virality 4: Harvard Blog

Organized Intelligence (OI) 2030: The Future of Intelligence! 🚀