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Google Scientists Win Nobel Prize in Chemistry, Marking a Milestone in AI's Evolution The Royal Swedish Academy of Sciences has awarded the 2024 Nobel Prize in Chemistry to Demis Hassabis and John Jumper of Google DeepMind, along with David Baker of the University of Washington. This prestigious award recognizes their groundbreaking work in using artificial intelligence (AI) to predict and design novel proteins. AI's Ascendancy in Scientific Discovery ➡️ This isn't just a win for Google or DeepMind; it's a landmark moment for the entire field of AI. It demonstrates the transformative power of AI in pushing the boundaries of scientific discovery and addressing some of humanity's most pressing challenges. ➡️ Pioneering the Future of Medicine and Beyond The laureates' work has the potential to revolutionize medicine, materials science, and numerous other fields. By enabling the accurate prediction and design of protein structures, their AI models are paving the way for the development of new drugs, therapies, and materials with unprecedented precision and efficiency. 💡 A Journey of Innovation and Collaboration This Nobel Prize is a testament to the dedication, ingenuity, and collaborative spirit of these brilliant scientists. It also highlights the crucial role of interdisciplinary research in driving innovation and pushing the frontiers of knowledge. ✅ The Future of AI is Bright As AI continues to evolve and mature, we can expect even more groundbreaking discoveries and applications in the years to come. This Nobel Prize serves as an inspiration and a reminder of the immense potential of AI to shape a better future for all. ❕ With Great Power Comes Great Responsibility While the win is a significant milestone, it also comes with a great responsibility. As AI becomes more powerful and integrated into our lives, it's crucial to ensure its responsible development and use. This includes addressing ethical concerns, mitigating potential biases, and establishing clear boundaries for its application. #AI #NobelPrize #Chemistry #GoogleDeepMind #Innovation #Science #Technology #FutureOfWork #ResponsibleAI #Ethics #Boundaries https://lnkd.in/dkCrU8TM

Exciting news in the world of science! 🎉 The Nobel Prize in Chemistry 2024 has been awarded to Demis Hassabis and John Jumper from Google DeepMind for their groundbreaking work on AlphaFold2, an AI model that predicts protein structures. This achievement is shared with David Baker from the University of Washington for his pioneering efforts in computational protein design. AlphaFold2 has revolutionized our understanding of proteins, which are essential to all life forms. Proteins perform a myriad of functions, from acting as enzymes and hormones to forming the structural components of cells. Predicting their complex 3D structures from amino acid sequences has been a challenge for decades. However, AlphaFold2 has cracked this code, enabling scientists to predict the structure of nearly all known proteins with remarkable accuracy. "To put it simply, proteins are like tiny machines within our bodies, each with a unique shape that determines its function. Imagine trying to assemble a complex piece of furniture without any instructions—this was the challenge scientists faced with proteins. AlphaFold2 provides the “instruction manual” by predicting how proteins fold into their functional shapes, which is crucial for understanding how they work." This breakthrough has vast implications for biology and medicine. Researchers can now better understand diseases, develop new drugs, and even design proteins for specific purposes, such as breaking down plastics or combating antibiotic resistance. The potential applications are endless, making this a truly transformative moment in science. The ability to predict protein structures accurately opens up new avenues for scientific discovery and innovation. It accelerates research in various fields, from drug development to environmental science, and enhances our ability to tackle some of the most pressing challenges facing humanity today. Congratulations to the laureates for their incredible contributions to science and humanity! 🌟 What do you think will be the most exciting application of AlphaFold2 in the future? Share your thoughts! #NobelPrize #AlphaFold2 #ProteinStructure #AI #ScienceInnovation #Biotechnology #Chemistry #ScientificBreakthrough #DeepMind #DavidBaker #DemisHassabis #JohnJumper

The 2024 Nobel Prize in Chemistry has been awarded to Demis Hassabis, John Jumper, and David Baker for their revolutionary work in AI-driven protein structure prediction. Their achievements with AlphaFold and related deep learning methods are transforming the fields of chemistry and biology. AlphaFold, developed by DeepMind, solved one of biology’s biggest challenges: predicting the 3D structure of proteins based solely on their amino acid sequences. This breakthrough, led by Hassabis and Jumper, has revolutionized the way we understand biological molecules, speeding up drug discovery, disease research, and molecular design. Meanwhile, David Baker’s work has focused on designing new proteins that do not exist in nature, using AI to create molecules that could have significant impacts on medicine and materials science. These AI-driven approaches are now shaping the future of chemistry and biomedicine, allowing scientists to simulate molecular behavior, optimize drug design, and improve our understanding of biological systems with unprecedented precision. By combining deep learning and cutting-edge molecular research, this year’s laureates have demonstrated the incredible power of AI to solve real-world scientific challenges. Their contributions will inspire a new generation of innovation at the intersection of AI, chemistry, and biology. #NobelPrize #AlphaFold #DemisHassabis #JohnJumper #DavidBaker #DeepLearning #AIInBiology #ProteinFolding #DrugDiscovery #AIRevolution #Chemistry #Biology #MolecularScience #DeepMind #ScientificBreakthrough #MachineLearning #Innovation

Congratulations to the 2024 Nobel prize in Chemistry has been awarded to David Baker, Demis Hassabis, and John Jumper for their work on understanding the structure of proteins. Hassabis and Jumper, of Google DeepMind, have developed an artificial intelligence that predicts the structure of proteins. Baker, at the University of Washington, has been recognised for his work on designing new proteins. See article below #nobelprize #chemistry #google #deepmind #proteins #ai #NextPhase

The 2024 #NobelPrize laureates in chemistry Demis Hassabis and John Jumper have successfully utilised artificial intelligence to predict the structure of almost all known proteins. When Demis Hassabis and John Jumper confirmed that AlphaFold2 really worked, they calcu­lated the structure of all human proteins. Then they predicted the structure of virtually all the 200 million proteins that researchers have so far discovered when mapping Earth’s organisms. #AlphaFold2 is a groundbreaking artificial intelligence system developed by DeepMind, a subsidiary of Alphabet Inc. It has revolutionized the field of protein structure prediction by accurately predicting the 3D structure of a protein from its amino acid sequence with unprecedented accuracy. AlphaFold2 can predict protein structures with an accuracy comparable to experimental methods like X-ray crystallography and cryo-electron microscopy. It can predict the structure of a protein in a matter of days or even hours, significantly reducing the time and cost involved in traditional experimental methods. Additionally, AlphaFold2 can be applied to a wide range of proteins, including those that are difficult to study using experimental methods. The system is based on deep learning techniques, specifically neural networks, which enable it to learn complex patterns in protein sequences and structures. Google #DeepMind has also made the code for AlphaFold2 publicly available, and anyone can access it. The AI model has become a gold mine for researchers. By October 2024, AlphaFold2 had been used by more than two million people from 190 countries. Previously, it often took years to obtain a protein structure, if at all. Now it can be done in a few minutes. The AI model is not perfect, but it estimates the correctness of the structure it has produced, so researchers know how reliable the prediction is. Read on ... https://lnkd.in/g5Vdx47C #AIML #TechInnovations #AIusecases

1/ The Royal Swedish Academy of Sciences has awarded the 2024 Nobel Prize in Chemistry to three researchers who have made important advances in deciphering and designing protein structures. 2/ David Baker from the University of Washington receives one half of the prize for his work in the computer design of proteins. The other half is shared by Demis Hassabis and John Jumper from Google DeepMind for the development of the AlphaFold AI system for predicting protein structures. 3/ AlphaFold 2 uses an AI mechanism known as "Attention" and takes into account evolutionarily related sequences as well as physical and geometric constraints on protein folding. The prizewinners' discoveries enable a better understanding of biological processes and accelerate the development of new drugs. 👇 Read more #AIandscience

Huge Congratulations to David Baker, John Jumper, and Demis Hassabis! Their groundbreaking work in computational biology and AI has revolutionized how we understand protein folding and design, paving the way for incredible advancements in medicine and science. This year's recognition is a true testament to the transformative power of AI in biology. Moreover, it's exciting to see the Nobel Prize in Physics positively reflecting the contributions of AI, with Geoffrey Hinton and John Hopfield being honored for their pioneering work. AI is shaping the future not only in computing, but also in biology, physics, and beyond. As we celebrate these remarkable achievements, let's look forward to October 14, 2024, when The Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel will be declared. Could AI play a role in economics as well? Time will tell. Here’s to more groundbreaking discoveries and the continued synergy of artificial intelligence and scientific exploration. #NobelPrize #AI #Biotech #Innovation #ComputationalBiology #AlphaFold #DeepMind #Economics

🌟 Nobel Prize in Chemistry 2024: Unlocking a New World of Protein Design with AI 🧬✨ The 2024 Nobel Prize in Chemistry has shattered boundaries, unveiling revolutionary advances in protein design and prediction that could transform #drugdiscovery, medicine, technology, and beyond. Johan Åqvist, professor of theoretical chemistry and Nobel Committee member, shared on this just minutes, after the live announcement, calling this year’s breakthroughs “mind-blowing.” This year’s prize is all about cracking the code of protein structures—massive molecules vital to life, made up of amino acids that fold into mind-boggling 3D shapes. David Baker, one of the laureates, was recognized for designing proteins that have never existed in nature. Using sophisticated algorithms, Baker's work allows scientists to create virus inhibitors, opioid sensors, and even futuristic nanomaterials—pushing the limits of what we thought possible. Two additional laureates Demis Hassabis and John Jumper were also recognised for using advanced neural networks to predict protein structures from their amino acid sequences. This breakthrough has already led to a massive database of 200,000 protein structures, setting the stage for design of various drugs. “This prize opens up a completely new world of possibilities,” Åqvist said, as AI and protein design collide to revolutionize the future of science and technology. #DrugDiscoveryNews #ComputationalChemistry #ResearchNews

Exciting news about a groundbreaking achievement in the field of chemistry. The 2024 Nobel Prize in Chemistry has been awarded to two Google DeepMind scientists along with an American biochemist for their exceptional work in predicting and designing protein structures. Demis Hassabis and John Jumper from DeepMind, creators of the AI model AlphaFold, share half the prize. The other half goes to David Baker from the University of Washington for his innovative research in creating new proteins with wide-ranging applications. Learn more about this remarkable accomplishment in The Guardian US. #NobelPrize #Chemistry #ScienceBreakthrough #advertising #marketing #advertisingandmarketing

🚀 Nobel Prize in Chemistry Awarded to Pioneers of AI-Driven Protein Structure Prediction The 2024 Nobel Prize in Chemistry has been awarded to John Jumper, Demis Hassabis, and David Baker for their revolutionary work in computational biology using artificial intelligence (AI). This trio of scientists has fundamentally changed the way researchers understand protein structures, with significant implications for drug discovery and biological research. 🔑 Key Takeaways: ◾ John Jumper and Demis Hassabis, from Google DeepMind, developed AlphaFold AI, which can predict protein structures with unprecedented accuracy. ◾ David Baker, from the University of Washington, has enhanced computational protein design through AI, leading to innovative new proteins and potential treatments. ◾ The AI tools developed by these laureates have made detailed and accurate protein structures accessible to scientists worldwide, accelerating research and potential therapeutic discoveries. 🌍 Why This Matters: The ability to accurately predict protein structures is a cornerstone of modern biology and medicine. Proteins are the machinery of life, and understanding their structure is crucial for everything from understanding disease mechanisms to designing new therapies. AlphaFold and related technologies have opened up new possibilities in numerous fields of science and medicine. 🔗 https://lnkd.in/d7Uu7sXS #NobelPrize #Chemistry #ProteinFolding #ArtificialIntelligence #Biotechnology #DrugDiscovery #HealthcareInnovation