Frank Mueller’s Post

Is your job harder than winning the Nobel Prize? They say that you won't lose your job to AI but you might lose it to a human who works with AI. Nobel Prize aspirants this year might reflect on that neologism. As you may know, Geoffrey Hinton and John Hopfield won the Nobel Prize for physics while Demis Hassabis, John Jumper, and David Baker won the chemistry Nobel Prize. Of these 4 are actually AI Scientists, who are neither physicists, not chemistry researchers. Only David Baker qualifies as a pure science researcher. Winning the Nobel Prize isn't a 'job' but it's definitely a seminal moment as it means that breakthrough research can be done by AI Researchers in fields they may not actually be experts in. This should cause the research community to pause and reflect. And at a broader level every one of us who believe that actually our job requires some great human capability should think more deeply about what it is that we do that can't be done by an AI (or a combination of AI tools) in future. Specifically, we should focus on the most valuable parts of our work and how we can stay ahead, or become the person that uses AI and our existing competence to get further ahead. #innovation #disruption #AI

"Artificial intelligence (AI) has taken center stage in basic science. The five winners of the 2024 Nobel Prizes in Chemistry and Physics shared a common thread: AI. Indeed, many scientists—including the Nobel committees—are celebrating AI as a force for transforming science. As one of the laureates put it, AI's potential for accelerating scientific discovery makes it "one of the most transformative technologies in human history." But what will this transformation really mean for science? AI promises to help scientists do more, faster, with less money. But it brings a host of new concerns, too—and if scientists rush ahead with AI adoption they risk transforming science into something that escapes public understanding and trust, and fails to meet the needs of society." #science #ai #ml #humanunderstanding #publicacceptance #publictrust

🚨 BOLD PREDICTION: The Next Nobel Prize Will Be Awarded to an AI! 🏆🤖 🌟 Why this isn't as crazy as it sounds: The Royal Swedish Academy of Sciences just awarded the 2024 Nobel Prize in Physics to AI pioneers: 👨🔬 John J. Hopfield (Princeton University) 👨🏫 Geoffrey E. Hinton (University of Toronto) 🤔 If we're already honouring the creators of AI... could #AI itself be next? 🧠 Here's why it's possible: • AI is already making groundbreaking discoveries in science • The 2024 Physics Nobel recognizes neural networks - the foundation of modern AI • AI systems are achieving superhuman performance in many research areas 🔍 About the 2024 winners: • Hopfield created a revolutionary memory system mimicking human brain function • Hinton developed methods enabling networks to learn autonomously 💭 Think about it: From assisting in drug discovery to solving complex physics problems, AI is pushing the boundaries of human knowledge. A Nobel-worthy breakthrough by AI might be closer than we think! ⏱️ The countdown begins: Will 2025 be the year we see an AI laureate? It would be the ultimate validation of machine intelligence. #NobelPrize2025 #ArtificialIntelligence #FuturePredictions #Innovation #AI 🤔 Is this prediction too far-fetched? What field do you think an AI might win a Nobel Prize in? Let's discuss in the comments!

🎉 AI Takes Center Stage with a Nobel Prize Win! 🏆🤖 Geoff Hinton and John Hopfield have just been awarded the Nobel Prize in Physics for their groundbreaking work in foundational AI! This historic win is not just a milestone for science but a powerful signal of how AI will shape the future of humanity. 🌍 By advancing AI, we can unlock solutions to some of the world’s most pressing problems—whether it’s improving healthcare, tackling climate change, or addressing global inequality. This win highlights the transformative potential of AI for good and how it can help achieve a more sustainable and equitable world! 🌱 🔗 Read more to see how AI is driving change for the better! #AIForGood #NobelPrize #Sustainability #Innovation #SolveForEarthAI #FutureOfAI https://lnkd.in/g_qWpQej

AI wins big at the Nobels The scientific #Nobel prizes have always, in their way, honoured human intelligence. This year, for the first time, the transformative potential of artificial intelligence (#AI) has been recognised as well. Sweden’s Royal Academy of Science awarded the physics prize to John Hopfield of Princeton University and Geoffrey Hinton of the University of Toronto for computer-science breakthroughs integral to the development of many of today’s most powerful AI #models. The next day, the developers of one such model also received the coveted call from Stockholm. Demis Hassabis and John Jumper from DeepMind, Google’s AI company, received one half of the chemistry prize for their development of AlphaFold, a program capable of predicting three-dimensional protein structure, a long-standing grand challenge in biochemistry. The prize’s other half went to David Baker, a biochemist at the University of Washington, for his computer-aided work designing new #proteins. The AI focus was not the only thing the announcements had in common. In both cases, the research being awarded would be seen by a stickler as being outside the remit of the prize-giving committees (AI #research is computer #science; protein research arguably counts as biology). OpenSourceResearch Collaboration our research focus is how to implement AI in medical research but that is only part of what we are doing. The other part is to incubate and develop innovators from LMICs. You can be part of this mission also. Read more on OSRC.network https://lnkd.in/d_2SPKCd

As AI accelerates scientific discoveries, there are concerns about its long-term impact. From illusions of understanding to the potential drowning of meaningful research in AI-generated noise, we must ask: Are we ready for the future AI is shaping in the world of science? Could the rise of AI distort research priorities and fail to address society’s needs? “We might find ourselves in a world where science as we once knew it, is buried under the noise of AI-generated content.” What’s your opinion? #Innovation #ResponsibleAI #FutureOfResearch #SustainableScience

🏆 AI takes the Nobel Stage – A New Era of Excellence Achieving something as monumental as a Nobel Prize isn’t just about talent— for me it's the consistent ability to stay in the zone 🔥 (focus + concentration) day in, day out. How do they it, is baffling for mortals like me. It also reminds me of Sachin Tendulkar—talent alone didn’t give him cult status. His sheer dedication and unwavering hard work did. 🎯 When I link it to the corporate world, we often encounter mistakes that, from the outside, seem avoidable. So why do they happen? 🤔 Often, it’s because people aren't “in the moment.” Minds wander—caught between past regrets, future worries, and the overwhelming flood of daily distractions, insta and reels and what not. That is what probably differentiates the people in the bell curve Coming back to the 2024 Nobel Prize serves as a loud signal: AI is here to stay 🚀 ✨ Geoffrey Hinton and John Hopfield earned the Nobel Prize in Physics for their revolutionary work on neural networks—laying the foundation of modern AI. ✨ But the bigger surprise? For me is the Noble for application and usage of AI, rather than creating something new, for which generally I feel Noble are given, Google DeepMind’s Demis Hassabis and John Jumper won in Chemistry for AlphaFold, the AI model that predicts protein structures with incredible precision. This transformative work is already reshaping drug discovery and medicine! 🧬💡 This simply means that AI is here is stay and its usage and applicability is going to change the way we function and live our lives. Not only in the field of real science where the data set is real and accurate, but overtime in the field of finance and banking, where currently we are targeting the low hanging fruits, in terms of simple processes and straight forward CEX use cases. This are helping us get the real/ raw data which overtime will be used to derive better and relevant insights at the client level and consumer behavior in general. Imagine—someone working with this emerging data could one day win the Nobel Prize in Economics 🏅 for groundbreaking research in behavioral patterns! AI isn’t just a trend; it’s the future. 🌍 Get ready to ride the wave of innovation—it’s only going to grow bigger from here! #NobelPrize #AI #Innovation #AlphaFold #NeuralNetworks #FutureOfWork #Focus #Dedication #InTheZone #Productivity https://lnkd.in/dSE3BRFw

I am proud to announce that I will be presenting my artificial intelligence research at the 2024 FSU Undergraduate Research Symposium. Join me in the Student Ballrooms on April 3rd from 1:30 - 2:30 to learn more about my findings. To read more about my research journey visit my Symposium Profile: https://lnkd.in/ezEQvV6f Huge thanks to my mentors Faye Jones, PhD, Michelle Kudelka, and Marcia Mardis for helping me attain this goal. Looking forward to pushing this research towards publication next year! #UndergraduateResearch #Research #AI #ArtificialIntelligence

🔬 Nobel Prizes Highlight AI's Growing Impact on Scientific Discovery "AI is accelerating [the] pace of innovation" - Iddo Drori, Boston University professor, shares fascinating insights on how AI is reshaping scientific research, from protein structure prediction to neural networks. This year's Nobel Prizes in Chemistry and Physics recognize groundbreaking AI achievements, marking a historic shift in how we approach scientific discovery. The fusion of human expertise and AI capabilities is opening new frontiers in research. Read the full article to explore how AI is transforming scientific methodologies and what leading experts predict for the future of human-AI collaboration in research. #ArtificialIntelligence #ScienceInnovation #NobelPrize #ResearchAndDevelopment #STEM https://lnkd.in/dtXMt9JA

As an Operations practitioner my I find myself more and more utilizing the power of AI, and specifically Machine Learning, in the quest to improve Supply Chain; Manufacturing Operations or Purchasing. Day-by-day I learn and see new possibilities, and I also develop a broader understanding on how we should lead and govern these possibilities to ensure that the power of AI is also a responsible power. I don’t pretend to have a very elaborate understanding of the foundational theories and methods that have enabled the development and capabilities we are now seeing. I have to say though that sitting in Stockholm and learning of today’s announcement of the Nobel Prize in Physics being awarded to John J. Hopfield and Geoffrey E. Hinton have made me increasingly curios to learn more – not just of how to apply and govern the AI capabilities – also to understand further the background, and foundational building blocks for giving us these fantastic tools and opportunities. The Nobel Prize in Physics 2024 - Scientific background - NobelPrize.org