Jonathan I.’s Post

Geoffrey Hinton's recent Nobel prize in physics highlights the pivotal role of neural networks in AI.. 💡 AI Visionary: Hinton’s unwavering belief in neural networks, despite early skepticism, revolutionized machine learning and artificial intelligence. 🛠️ Physics Connection: Though not a physicist, Hinton’s contributions draw heavily on statistical physics, sharing the prize with John Hopfield. 🧠 Godfather of AI: Dubbed the "godfather of AI," Hinton has significantly shaped AI through innovations like backpropagation and neural networks. 🌍 Nobel Spotlight: Like Seamus Heaney, Hinton may soon find his life overtaken by the demands of being a Nobel laureate—congratulations, but manage that calendar! #AI #NobelPrize #GeoffreyHinton 📚 Inspiration: Hinton’s persistence mirrors the determination of his ancestor, George Boole, whose work laid the foundation for modern computing. 🔄 Broader Impact: Demis Hassabis and John Jumper’s prize in chemistry for AlphaFold2 underscores how AI is transforming multiple fields like biochemistry. 🖥️ Legacy: This prize could fuel discussions about why there’s no Nobel for computer science yet, as software continues "eating the world." ♻️ Repost if you enjoyed this post and follow me, César Beltrán Miralles, for more curated content about generative AI! Nobel winner Geoffrey Hinton is the ‘godfather of AI’. Here’s an offer he shouldn’t refuse… https://lnkd.in/gHMk9SkD

Geoffrey Hinton currently predicts a 10-20% chance that AI will exterminate humanity in the next 30 years. He also warns that our unjust economic system can be expected to convey the benefits of AI to the rich and powerful. In awarding the physics prize to nonphysicists, could the Nobel Committee have been hintin' we should pay more attention to Hinton? Could the Perimeter Institute mention Hinton's hints about the extreme risks of AI every time they post about AI, let alone when they post about Hinton's prize? Just hintin'. https://lnkd.in/eqCE6cME

Huge congratulations to Geoffrey Hinton, ex-Googler and Godfather of AI, for winning the Nobel Prize in Physics! This is an incredible achievement and a testament to Geoff's groundbreaking work in artificial neural networks. His contributions at Google and beyond have been nothing short of unprecedented, laying the foundation for the AI revolution we're experiencing today. Geoffrey Hinton invented a method that can autonomously find properties in data, and so perform tasks such as identifying specific elements in pictures. Geoffrey Hinton used the Hopfield network as the foundation for a new network that uses a different method: the Boltzmann machine. This can learn to recognise characteristic elements in a given type of data. Hinton used tools from statistical physics, the science of systems built from many similar components. The machine is trained by feeding it examples that are very likely to arise when the machine is run. The Boltzmann machine can be used to classify images or create new examples of the type of pattern on which it was trained. Hinton has built upon this work, helping initiate the current explosive development of machine learning. Geoff's dedication to exploring the potential of machine learning has not only advanced the field of computer science but has also opened up countless possibilities for the future of technology and its impact on society. Let's all celebrate this momentous occasion and acknowledge the profound impact Geoff has had on shaping our world. #AI #NobelPrize #GeoffreyHinton #Innovation #MachineLearning #Google

Both the 2024 Nobel Prize for Physics, and the Nobel Prize for Chemistry, will be awarded to AI pioneers. Professors Geoff Hinton and John Hopfield share the physics prize for their foundational contributions in the field of neural networks. These include the deep learning and generative AI technologies that underpin many of our everyday experiences of artificial intelligence. The chemistry prize was awarded to a team including Dr Demis Hassabis, co-founder of Google DeepMind, which developed the complementary field of deep reinforcement learning and applied it to problems from games such as chess and Go, to solving problems in biology and medicine. Today these technologies power scientific discovery. They also power a wide variety of consumer and industrial technologies, such as voice recognition, and driver assistance systems, which promise to make our lives as consumers safer and more convenient. As the Nobel Prize Committee and some of the awardees noted (https://lnkd.in/d9wcVJNb), these technologies are not without their risks, including resource consumption, and broader societal impacts. At the Centre for Machine Intelligence (https://lnkd.in/epUK9UPF) we are bringing together an interdisciplinary community of researchers, to investigate AI both as a tool for progress, and also account for social and environmental effects. The Centre for Machine Intelligence are happy to add their congratulations to those already received by the new Nobel Laureates. Image: First awarded in 1901, the Nobel Prize medals depict Alfred Nobel (1833-1896). © Nobel Media. Photo: Alexander Mahmoud. https://lnkd.in/gVMwsGY

The #NobelPrize in Physics is awarded to John J. Hopfield Princeton University and Geoffrey E. Hinton University of Toronto “for foundational discoveries and inventions that enable machine learning with artificial neural networks”. But why was their seminal work classed as physics, and what implications has #AI for science? Learn more in our new blog post by Ben Skuse: https://lnkd.in/d-jYd8PG

Inventor of method that can "autonomously find properties in data and carry out tasks such as identifying specific elements in pictures", Geoffrey Hinton from the University of Toronto, together with colleague John Hopfield of Princeton University, were honoured with the 2024 Nobel Prize in Physics for discoveries and inventions that enable machine learning within artificial neural networks. Here is the official announcement: "This year’s laureates used tools from physics to construct methods that helped lay the foundation for today’s powerful machine learning. John Hopfield created a structure that can store and reconstruct information. Geoffrey Hinton invented a method that can independently discover properties in data and which has become important for the large artificial neural networks now in use." (https://lnkd.in/gq8THmzf) #nobelprize #physics #neuralnetworks #ai #data #images #machinelearning https://lnkd.in/g9k5a6tQ

A Message From Our CEO, David Hauser... This week marks a historic moment in the Computer Science and AI community. The 2024 Nobel Prize in Physics has been awarded for groundbreaking work in deep neural networks and machine learning – a well-deserved recognition that highlights the transformative power of Artificial Intelligence in scientific discovery. I believe the Nobel recognition is a really exciting step forward for computer science research as a whole. For those of us working in this space, it’s a nod to the potential of AI to transform organizations and work to solve complex challenges. At the same time, this milestone reminds us of the responsibility we carry as leaders in AI to ensure that we develop and deploy these technologies in a responsible, ethical way. As AI continues to shape the future, our commitment to transparency, fairness, and accountability will be critical to its success. I also want to take a moment to acknowledge the incredible work our team has been doing to help organizations harness AI in a structured, meaningful and secure way. Your dedication to building impactful, innovative solutions is paving the way for real transformation across industries. This Nobel recognition feels like a win for the entire AI community, and I’m proud of the role we’re playing in shaping the future. A huge congratulations to the winners – and a big shout-out to everyone in the AI community who is doing the hard work to drive this field forward in a responsible way. ~ David The Nobel Prize in Physics 2024 https://hubs.li/Q02SR1h00 David Hauser Celia Wanderley Patrick Golec Lee Mainman Vivek Saluja Scott Heather Mark Donnelly Hadi Aghazadeh Nehad Hirmiz Jitendra Rawat

Would you guess who helped transform neural networks into powerful tools for modern-day AI? When I first read about John Hopfield's groundbreaking work, which led to the development of the Hopfield Network and earned him a Nobel Prize, I was in awe. It’s incredible to see how modern AI builds on decades of research, with contributions from legends like Hopfield and Geoffrey Hinton, who have shaped the field we know today. Hopfield's words resonate deeply: "The central idea was that the world is understandable, that you should be able to take anything apart, understand the relationships between its constituents, do experiments, and on that basis be able to develop a quantitative understanding of its behavior." In simpler terms, to learn and problem-solve, you need to break things down into their most basic parts and work through them to understand the bigger picture. This approach has taught me so much about tackling challenges – deconstructing complex issues, breaking them into manageable pieces, and understanding how they fit together. I'm in awe of the work of both 2024 Nobel Prize winners, John Hopfield for his pioneering contributions to neural networks and molecular biophysics, and Geoffrey Hinton for his transformative research in deep learning and AI. Their achievements remind us how science not only solves problems but also drives the future. Congratulations to both! 🎉 #NobelPrize2024 #AI #Science #Innovation #JohnHopfield #GeoffreyHinton #NeuralNetworks #DeepLearning #ProblemSolving #Research https://lnkd.in/dKhC7XMR

Associate Professor Mark van der Wilk has commented on the recent Nobel prize winners, Professor Geoffrey Hinton and Professor John Hopfield, who were awarded the Nobel prize in physics for their work in artificial neural networks. Associate Professor van der Wilk has explained what neural networks are and detailed what machine learning is in the new article shared by France 24. The article answers questions many have asked since the prizes were awarded and covers what both Professor Hinton and Professor Hopfield have discovered. Read the article here: https://lnkd.in/eDsp3Y5E #compscioxford #OxfordAI