Re4M, IIT Jammu’s Post

Geoffrey Hinton, a professor emeritus at the University of Toronto who is known as the "Godfather of AI," recently quit Google to talk about the possible dangers of AI development that is not controlled. During a chat at his home in London, Hinton talked about the technology he helped make and all its benefits. He also said that he was suddenly worried about the future of humanity. Hinton says that chatbots and generative AI, which use digital intelligence, have some benefits over biological intelligence. Digital computers can be set up to do jobs exactly as they are told, and their ability to learn can be duplicated on multiple computers, which makes it easy to share information. In contrast, biological intelligences like humans have trouble properly sharing what they have learned. Hinton went on to say that digital intelligence is immortal because the knowledge it learns can be moved to different hardware, while biological intelligence is mortal because the knowledge it learns is tightly linked to each brain. Hinton said that digital intelligences are better than biological intelligences because they have better learning algorithms and can share information more effectively. He was also worried about how fast AI was changing, and he urged officials to listen to the warnings of experts who have been thinking about possible risks for a long time. Hinton acknowledged the importance of other well-known risks that come with AI, but he stressed the need for empirical data and study to better understand and control the development and effects of AI systems. He said that governments should put pressure on companies to put safety first and put money into long-term plans to stop catastrophic threats. Hinton also talked about how companies have different goals and how important it is to listen to your gut and fix any possible code mistakes. In the end, he said that he wanted to move into the field of philosophy because he thought it was important to learn more about how AI affects society. View the full conversation here: https://lnkd.in/g-8cPgyB #GeoffreyHinton #GodfatherOfAI #AI #ArtificialIntelligence #Technology #Ethics #FutureTech #DigitalIntelligence #KnowledgeSharing #AIrisks #AIInnovation #EmpiricalResearch #AIphilosophy #TechSafety #AIdevelopment #HumanityConcerns

Geoffrey Hinton’s words deeply inspire me, especially his openness to multi-disciplinary research 🌍. His work spans AI 🤖, physics ⚛️, cognitive psychology 🧠, neurobiology 🧬, mathematical optimization ➗, and information theory 📊—showing how distinct academic fields are interconnected. Before hearing his words, I often felt lost and uncertain when exploring the fusion of Applied Behavior Analysis (ABA) and User Experience (UX), unsure if my efforts would lead anywhere. But Hinton’s persistence, despite skepticism toward neural networks, reassured me that it’s okay to pursue what you believe in, even when the path isn't clear. His advice—to keep going until proven wrong—reminded me to stay curious and resilient 🔍💪. Hinton’s commitment to lifelong learning 📚 also inspired me to embrace new knowledge without fear 😌, knowing that breakthroughs often happen at the intersections of fields. Following his example, I’ll continue exploring how Behavioural principles can enhance UX design, confident that with curiosity and perseverance 🚀, the journey will be worth it.

10 Hot Dissertation Topics in Physics. Today, join us on a journey to discover trending and hot dissertation, thesis, and research topics for 2024 in Physics. In this video, we will look into 10 topics in the trending area of Physics that you can use to create your own topic. No more delays - let's get started! https://lnkd.in/dBm_zgzn

Third paper on Direct Laser Acceleration (DLA) that has come out this year! Dr. Hongmei Tang publishes her PhD work on how the laser focusing affects DLA in this New Journal of Physics paper: https://lnkd.in/gDqJfc_z

🔬🔭 Call for Manuscripts: Bridging Theory and Experiment in Physics Research 🔭🔬 Are you conducting research that bridges theoretical physics with experimental findings? We're inviting submissions for a special issue dedicated to interdisciplinary approaches that drive innovation and discovery in the field of physics. Manuscript topics may include: Novel experimental techniques and instrumentation Theoretical frameworks for interpreting experimental data Computational methods in physics research Collaborative efforts between theorists and experimentalists Share your insights and contribute to the synergy between theory and experiment. Submit your manuscript today and be part of transformative discoveries! #Interdisciplinary #Physics #CallForPapers

Great article in #APSnews that highlights the incredible work of the Nobel laureates in physics. As we strive for further innovations in the field, the opportunity to understand what some of the best minds in physics are thinking about could spark the next great discovery. Our best lessons come from those around us; we must focus on listening. #Physics #FutureOfPhysics

Continuing on my journey to attempt to grasp how the recent Nobel Physics prize in AI is considered physics, I've viewed three relevant videos: 1. The Princeton press conference. Hopfield speaks. https://lnkd.in/eXhsb7rE 2. The University of Toronto press conference. Hinton speaks. https://lnkd.in/eiD5xA4D 3. The Nobel Physics committee announcement press conference. https://lnkd.in/eJKA3nXh In the first, with Hopfield, a reporter with the Washington Post asks... "This next question is from "The Washington Post," and Lizette Ortega from "The Washington Post" asks, "Some people are wondering how the work awarded today, which has revolutionized computer science, fits within the field of physics. What would you say to them?" How does your work fit within the field of physics?" He rambles a bit and I can't do full justice to his full response, but snippets include... "Well, I would first ask what defines the field of physics? If you say it's what physicists do, there's a totality there, and you can move the whole enterprise over and still call it physics. But more fundamentally, what is physics? In my view, physics is trying to understand how systems work. The systems are made of parts. These parts interact, so when you make large systems, they get behaviors which are different from the way small systems behave, and in fact, can be fundamentally new things. When you get systems which are rich enough in complexity and the size, they can have properties which you can't possibly intuit from the elementary particles you put in there. You have to say, "That system contains some new physics." And in trying to understand the brain, there are so many questions which you can't even make any plausible suggestion for how they work, let alone find evidence of that in biology. There's so many things of that sort that you have to say that there's going to be new physics found in understanding how the brain operates, and I think that that's true." Elsewhere he mentions the traditional boundaries between disciplines, the need to be interdisciplinary, and the "interstices" at those boundaries where... "new physics" can be found. That's about as deep as I could get from this press conference. The linked video starts with that question (but you can watch the entire press conference.) I'll comment on the other two press conferences separately. #Physics #NobelPrize #AI #ArtificialIntelligence #NeuralNetworks #GenerativeAI #GenAI #LargeLanguageModels #LLM #QuantumComputing #QuantumApplications #QuantumAlgorithms #QuantumInformationScience #QIS #QuantumTechnologies #QuantumTech #Quantum https://lnkd.in/ebzmAtcz

The beginning of Physics is the starting point of science! There is no science in this world like physics. Nothing comes close to the precision with which physics enables you to understand the world around you. It's the laws of physics that allow us to say exactly what time the sun is going to rise. What time the eclipse is going to begin. What time the eclipse is going to end.

Exciting news in the world of science! Our latest blog post delves into the groundbreaking discovery of the Higgs Boson, illuminating its significance and the impact it has had on particle physics. This comprehensive analysis not only explores the research journey but also highlights the implications for future studies. To gain deeper insights into this monumental discovery, read the full article here: https://ift.tt/M701DE2. Your thoughts and comments are welcome as we continue to explore this fascinating topic together.

Advancing physics, together The Physics Archive contains thousands of seminal papers, including hundreds by Nobel laureates. Papers in the archive have been cited approximately 29 million times. Include the Physics Archive in your collection today. #APS #Physics #PhysicsResearch