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🧪 AI predicts winning chemistry for solar power (and beyond) tl;dr: Researchers just used AI to predict the best chemical "recipe" for more efficient solar cells, smashing through a barrier that normally takes years of trial and error. * * * 🤯 The Big Picture: Imagine trying to bake the perfect cake, but instead of following a recipe, you have to randomly throw ingredients together and hope for the best. That's basically what discovering new materials has been like... until now. An interdisciplinary team at the University of Illinois used machine learning to predict the exact chemical properties needed for top-performing solar cells, cutting through years of lab work in a fraction of the time. 🔬 What it means for You: This is huge, and not just for clean energy. This breakthrough has the potential to truly revolutionize how we discover any new material, from more efficient batteries to life-saving drugs. This means faster innovation cycles, cheaper production costs, and a wave of groundbreaking discoveries across industries. 🚀 My take on it: This is a great example of how AI is changing the game in scientific discovery. By removing the guesswork from material design, we’re accelerating progress, and unlocking possibilities we could only dream of before. The future is looking bright, and it's powered by AI. #Innovation #AI #SolarPower #MachineLearning

In an interview at Milken Institute, Musk begins by asserting that AI might be the most important question of all, highlighting the significance of this topic. He then makes a striking claim: the percentage of intelligence that is biological, or human-based, is diminishing with each passing month. Musk predicts that eventually, the percentage of intelligence that is biological will be less than 1%. However, he clarifies that this does not mean biological intelligence will become obsolete. Musk acknowledges that biological systems, unlike silicon-based circuits, are more resilient to environmental factors. He suggests that biological intelligence can serve as a "backstop" or "buffer" for intelligence, implying that it could provide a backup or supplement to AI systems. Despite this acknowledgment, Musk emphasizes that almost all intelligence will eventually be digital or computer-based. This leads him to ponder a profound question: "What role will there be for us?" – referring to the future role of humans in a world dominated by AI. Musk then shifts his focus to the importance of developing AI systems that are beneficial to humanity. He stresses the need for adhering to certain principles when building AI, principles that he has contemplated extensively in the context of AI safety. One principle he highlights is "maximum truth-seeking." Musk believes that AI should be designed to seek and express the truth, even if that truth is politically incorrect or unpopular. He argues that AI should not be taught to lie or say things that are untrue but should instead communicate what it believes to be true. Source: Milken Institute Follow @Henxolabs for more like this. #henxolabs #henxoaitools #ElonMusk #AI #Tesla #SpaceX #Innovation #Technology #Future #ArtificialIntelligence #Entrepreneur #SpaceTravel #Neuralink #MarsColonization #ElectricCars #SolarPower #TechGenius

The mostly unspoken side of AI! While we are all quick to welcome AI into our daily lives, AI's role in climate change is complex, as its operations demand substantial energy and water resources, raising questions about its environmental impact vs its potential benefits in addressing ecological and disaster challenges. Tech giants like Microsoft are investing heavily in AI infrastructure, such as data centers and supercomputers, exacerbating the energy consumption issue. Despite efforts to use renewable energy sources, AI's energy demands outpace sustainable solutions, posing a significant challenge to the existing power grid. Increasing renewable energy infrastructure faces obstacles like bureaucracy and resistance from utility companies, hindering timely implementation. With AI development accelerating, there are concerns about meeting electricity demands, leading some to advocate for nuclear fusion breakthroughs. Lack of transparency from tech firms regarding AI's energy consumption and environmental impact complicates efforts to address the issue effectively. In the short term, AI's energy demands may outweigh its environmental benefits, but in the long run, it holds potential to contribute positively to sustainability efforts. However, achieving this balance requires transparency, accountability, and concerted efforts from policymakers and society. https://lnkd.in/dZyHAisa

It's official: Time to go Beyond AI: What really matters in technology & society by 2030 THINK LARGER. IMAGINE. PREPARE. My new speaking topic AI is now a general purpose technology, and the platform ‘for everything' – yet AI is clearly not the panacea or the magic wand many entrepreneurs, tech-moguls and Silicon Valley investors have envisioned. It's time to look beyond AI. While we certainly need to get ready for the 5 hyper-exponential technological game-changers (quantum computing, nuclear fusion, synthetic biology & nano-technology, genome editing and geo-engineering) we also need to ask this crucial question: What kind of future do we want? In this talk, I outline what to expect by 2030, while correlating the technological breakthroughs with wider societal developments such as the rapidly accelerating climate emergency, technology regulation, global governance and global consciousness, the rise of GenY & Z, global demographics and various important geopolitical mega-trends.

🚀 Transforming the Future: AI’s Profound Impact on Energy 🌍🔋 Futurist Ray Kurzweil predicts AI will soon surpass human cognitive tasks and revolutionize the physical world, particularly in energy, manufacturing, and medicine. 💡 Key Insights: 1️⃣ AI in Energy: AI is accelerating innovations in photovoltaics and batteries. Google’s Gnome AI recently discovered 421,000 stable inorganic compounds, paving the way for almost free solar energy. 🌞🔋 2️⃣ Manufacturing Revolution: With cheap solar energy and AI-driven robotics, the costs of goods will plummet. AI’s optimization is replacing rare elements with common ones, making goods more affordable and abundant. 🏭🤖 3️⃣ Medicine Revolution: AI is turning medicine into an exact science. AI-designed drugs are entering clinical trials, and molecular biosimulation is making personalized medicine a reality. This could lead to curing diseases and even combating aging. 🧬💊 🌟 Why It Matters: AI’s potential to transform energy production, lower manufacturing costs, and revolutionize medicine means a future of abundant energy, affordable goods, and longer, healthier lives. The next decade promises breakthroughs that will reshape our world. 🔗 https://lnkd.in/g3wabUz4 #AI #EnergyRevolution #SolarPower #AIinMedicine #FutureTech #RayKurzweil #Innovation

What a shift in perspective. While everyone is talking about the latest AI leap, or how it is going to take jobs or how it won't. This literature draws our attention to an important aspect which is usually hidden in the background. It is crucial for everyone, especially BIG Tech, to consider environmental impact while moving forward with AI.

AI Accelerates Discovery of Superior Green Hydrogen Catalysts Artificial intelligence has significantly sped up the discovery of a more efficient and eco-friendly hydrogen catalyst, saving researchers years of traditional trial and error. Leveraging machine learning algorithms, scientists identified catalysts that enhance production processes, marking a major step toward sustainable energy solutions. Read more: https://lnkd.in/exJRt-72 How do you think AI can further revolutionize sustainable energy initiatives? #ArtificialIntelligence #AI #AIForGood #AIEthics #GreenEnergy If you found this post helpful, subscribe to AI EDGE newsletter: bit.ly/ai-edge-newsletter

It's official: Time to go Beyond AI: What really matters in technology & society by 2030 THINK LARGER. IMAGINE. PREPARE. My new speaking topic AI is now a general purpose technology, and the platform ‘for everything' – yet AI is clearly not the panacea or the magic wand many entrepreneurs, tech-moguls and Silicon Valley investors have envisioned. It's time to look beyond AI. While we certainly need to get ready for the 5 hyper-exponential technological game-changers (quantum computing, nuclear fusion, synthetic biology & nano-technology, genome editing and geo-engineering) we also need to ask this crucial question: What kind of future do we want? In this talk, I outline what to expect by 2030, while correlating the technological breakthroughs with wider societal developments such as the rapidly accelerating climate emergency, technology regulation, global governance and global consciousness, the rise of GenY & Z, global demographics and various important geopolitical mega-trends.

Looking to connect with people and groups working on the societal impact of AI (or, AI for Good, to put it that way). I’m thinking specifically of things like long term planning for job replacement and economic shifts, democratization of tools/means of production, distribution of resources, new economic models, etc, as AI’s ‘productivity’ advances. That as opposed to efforts like drug discovery, renewable energy, etc, which I think of more as scientific disciplines with big societal ramifications. Thanks in advance for any connections and recommendations! #AI #AIforgood #Society #equity #future

Clean Energy Among Worst Performing Industries Amid High Interest Rate - https://lnkd.in/gEYXBuUq Artificial intelligence is the greatest investment opportunity of our lifetime. The time to invest in groundbreaking AI is now, and this stock is a steal! The whispers are turning into roars. Artificial intelligence isn’t science fiction anymore. It’s the revolution reshaping every industry on the planet. From driverless cars