Abylsen’s Post

🚀 Top 10 Emerging Technologies of 2024 Identified by the World Economic Forum 🌍 The World Economic Forum (WEF) has unveiled the Top 10 Emerging Technologies of 2024 — innovations that are poised to reshape industries, economies, and societies on a global scale. From clean energy to artificial intelligence and brain-computer interfaces, these technologies represent the future of sustainability, efficiency, and human advancement. Here’s a quick snapshot of what’s coming: Advanced Nuclear Power - Next-gen reactors for clean, safe energy. Artificial General Intelligence (AGI) - Human-like AI for complex problem-solving. Biodegradable Electronics - Eco-friendly electronics to combat e-waste. Brain-Computer Interfaces (BCIs) - Neural interfaces for enhanced cognition. Carbon Capture Utilization and Storage (CCUS) - Turning CO2 into valuable products. Distributed Ledger Technologies (DLT) - Secure, decentralized data management. Electric Vehicles (EVs) with Advanced Battery Tech - Efficient, sustainable transportation. Gene Editing Technologies - Precise DNA editing for disease prevention. High-Temperature Superconductors - Efficient energy transmission. Synthetic Biology - Engineering biological systems for sustainability. These technologies are already being developed by innovative companies like Neuralink, Toyota, Editas Medicine, Climeworks, and many others. They promise to address major global challenges—from climate change to healthcare—and will define the future of tech-driven transformation. The future is here and now! 🌟 🔗 Let’s discuss how these technologies are transforming your industry and how we can prepare for the future! #Innovation #Technology2024 #EmergingTech #CleanEnergy #AI #Sustainability #DigitalTransformation #FutureOfWork #LinkedInTechCommunity #AdvancedTech #TechLeaders

Dr. Mark van Rijmenam just posted thoughts on Sam Altman ath the World Economic Forum with a question on how can AI's growing energy deands be reconciled with the global push for sustainability. https://lnkd.in/g8BVG_sK Personally, I'd invite AI to solve its own demand for breakthrough energy. But seriously folks.... In the not-so-distand future, AI will be unveiling the equivalent of three or four Nobel Physics research breakthroughs a month, then a week, then a day. I have no doubt that it will be able to solve the breakthrough energy source problem by writing code on nanoparticles and powering with the 0.04 percent is carbon dioxide in the air (burn the oxygen, feed the carbon to trees), 0.000524 percent is helium gas (float your car plane and rocket ships up off the ground without burning anything before taking off to Mars), and 0.000055 percent hydrogen (burn, baby, burn)!

Future Technologies: Unveiling Tomorrow's Innovations Step into the future of technology where innovations are reshaping our world. From artificial intelligence enhancing everyday tasks to quantum computing revolutionizing data processing, the future promises advancements that will redefine industries and societies. Explore how emerging technologies like biotechnology, renewable energy solutions, and space exploration are paving the way for a smarter, more sustainable tomorrow #FutureTech #EmergingTechnologies #AI #QuantumComputing #Biotechnology #RenewableEnergy #SpaceExploration #TechInnovation #InnovationLeaders #TechFuture #DigitalTransformation #SmartCities #TechRevolution #SustainableFuture #CuttingEdgeTech #NextGenTechnology #TechAdvancements #TomorrowTech #InspireInnovation #Futurism

MagNex Magic: AI Creates Supercharged Stickiness! 🧠🔌💥 AI Sparks Self-Reliance Revolution: Independence 2.0! 🎯🔄 AI-Designed Magnet: A U.K. company, Materials Nexus, developed a rare earth metal-free magnet called MagNex using AI, which took only 3 months to design and test, significantly faster than the industry standard. 🧲🤖 Environmental Impact: The production of MagNex is more sustainable, with 20% of the material cost and a 70% reduction in carbon emissions compared to current rare earth element magnets. 🌿🌍 Collaboration: The development involved collaboration with the Henry Royce Institute and the University of Sheffield. 🤝🏫 AI in Material Science: AI's role in materials science is growing, with projects like the Materials Project and Deepmind's GNoME, leading to the discovery of millions of new, stable materials suitable for synthesis. 🌐🔬 This innovation highlights AI's potential to accelerate the green energy transition by finding sustainable alternatives to rare earth metals. 🌱⚡ #AI #Innovation #MagNex #GreenTech #Sustainability #EnvironmentalImpact #Collaboration #Partnership #Research #MaterialScience #GreenEnergy #FutureTech #SustainableInnovation #Technology

Please take time to read. Another post of AI, it’s future which is our future!

AI for solar fuel photocatalysis: a multidisciplinary approach. In the pursuit of sustainable energy solutions, integrating artificial intelligence (AI) with the field of solar fuel photocatalysis emerges as an exciting frontier. Solar fuel photocatalysis—a process converting carbon dioxide into fuel using sunlight—presents a green alternative to fossil fuels. Despite significant advancements, such as band-gap engineering and optimization of site activity, achieving commercially scalable solutions remains a challenge. A pivotal aspect of this challenge involves not only discovering new catalyst materials but also optimizing their synergy with photoreactors. A photoreactor, essentially a solar-powered chemical reactor, is critical in maximizing the interaction between light and photocatalytic materials to ensure efficient energy conversion. Factors such as photogeneration, charge-carrier recombination, mass transfer efficiency, solar collection, and uniform light distribution are key to the effectiveness of a photoreactor. Addressing these multidimensional challenges requires a sophisticated approach, where machine learning—particularly physics-informed neural networks—can significantly contribute. A recent Perspective paper by Loh and coauthors (link below) discusses real-world data on photoreactors and material properties, illustrating how AI can guide us toward more efficient solar fuel production. By blending data analysis with domain knowledge, physics-informed machine learning emerges as a promising tool, breaking down traditional research barriers and facilitating integrated solutions that could unlock the full potential of solar fuel photocatalysis. Overall, this work underscores the importance of a holistic approach in addressing complex, multi-scale challenges. The fusion of AI with photocatalyst and photoreactor design holds great promise in advancing the transition towards renewable energy sources. Link to the paper: https://lnkd.in/djPvvtjv #Photocatalysis #RenewableEnergy #AIinEnergy #SolarFuels #Sustainability #MachineLearning #PhotoreactorDesign #GreenTechnology #CarbonCapture

10 Tech Breakthroughs to Watch: (Source: Peter H. Diamandis) ... And how they will change our world Technology is evolving fast. These 10 innovations are set to transform our lives. Here’s what’s coming: 1. AI-powered drug discovery ↳ Faster and more effective treatments ↳ Revolutionizing healthcare 2. Generative AI for content creation ↳ Creating art, music, and writing ↳ Enhancing creativity and productivity 3. Advanced brain-computer interfaces ↳ Direct communication with devices ↳ Helping people with disabilities 4. Autonomous vehicles and air taxis ↳ Safer and more efficient travel ↳ Reducing traffic and pollution 5. Quantum computing advancements ↳ Solving complex problems quickly ↳ Transforming industries like finance and cryptography 6. Next-gen nuclear fusion reactors ↳ Clean and virtually limitless energy ↳ Addressing global energy needs 7. CRISPR gene editing breakthroughs ↳ Treating genetic disorders ↳ Potentially eradicating diseases 8. Longevity research and age reversal ↳ Extending healthy lifespan ↳ Improving quality of life 9. Space exploration and colonization ↳ Expanding human presence in space ↳ New opportunities for research and resources 10. Renewable energy and grid solutions ↳ Sustainable power sources ↳ Reducing carbon footprint #FutureTech #Innovation #AI #Longevity #SpaceExploration

Orbital Materials has introduced "Orb," an advanced AI model designed to revolutionize the development of new materials, particularly in the fields of clean energy and sustainability. Orb is touted as the most sophisticated AI for materials science, capable of accelerating the discovery and optimization of materials with unprecedented efficiency. This AI model aims to support industries in creating innovative solutions faster, helping to address global challenges like climate change by enabling the design of advanced materials for batteries, photovoltaics, and other critical applications. For more details, you can view the full article here: https://lnkd.in/eQ2zJSR4

AI Saves Researchers Years in Finding a Better Green Hydrogen Catalyst #Researchers at the University of Toronto have used AI to discover a more effective catalyst for green hydrogen production, saving years of trial and error. Led by PhD student Jehad Abed, the team trained #AI on 36,000 metal oxide combinations to find an alloy that could improve hydrogen production efficiency. The AI quickly identified a combination of ruthenium, chromium, and titanium, which proved to be 20 times more stable and long-lasting than existing options. The catalyst could make #green hydrogen production more cost-effective by reducing the need for expensive metals and increasing efficiency. Researchers will now test the alloy in real-world conditions to see if it can help scale green hydrogen as a clean #energy solution. https://lnkd.in/gyk6RCRV

Day 55/366 🌌🌟 AI & Gravitational Energy: The New Power Revolution! 🚀🌍 Artificial Intelligence (AI) is taking gravitational energy, an innovative renewable power source, to new heights. Here's how AI is reshaping the way we harness this cosmic force: 🔗 AI-Driven Collaboration: Just as big data brings companies together, AI unites scientists and engineers in a collaborative effort to innovate gravitational energy solutions. It's the fusion of minds and machines toward a sustainable energy future. 🤝💡 🔋 Energy Optimization: AI isn't just about harnessing gravitational energy; it's about optimizing its use. AI helps us understand gravitational force patterns and maximize energy extraction, thereby preserving our universe's natural rhythms. 🌐🔄 🔍 Enhanced System Monitoring: AI gives us an eagle-eye view of gravitational energy systems. From detecting subtle changes in gravitational forces to monitoring equipment health, AI ensures everything runs smoothly and efficiently. 📡🧐 👥 User-Centric Innovations: AI in gravitational energy mirrors big data's role in enhancing customer experience. It enables personalized energy solutions, tailoring gravitational power to meet individual and community needs. 🌟👨👩👧👦 📈 Predictive Analytics in Energy: AI's predictive power is steering the gravitational energy sector into uncharted territories, identifying future trends, and turning challenges into opportunities. 🚀🔮 🛠 Operational Excellence with AI: Like precision tools in big data, AI refines gravitational energy systems, ensuring they operate at peak performance with minimal waste and maximum output. 🎯♻️ Let's dive into the AI-powered gravitational energy revolution and explore its potential to transform our energy landscape. It's more than harnessing a new power source; it's about pioneering a sustainable, AI-driven future. 🌌💚 Join the conversation on how AI and gravitational energy can illuminate our path to a sustainable future. Share your ideas and be part of this exciting journey! 🗣️✨ Share your thoughts! #AI #ML #spreadingaithroughsl