Stefaan Verhulst, PhD’s Post

👏An interesting proposal for an inclusive #EU approach to the governance of #ArtificialIntelligence in a distributed manner, making use of emerging centres of excellence and talent across Europe. #Universities especially (including those in low-resource regions) can build on existing collaborations and talent development to boost and democratise #AI research, innovation, education and deployment to benefit #society at large. Nobel Laureate Elinor Ostrom provides eternal inspiration for effective governance of the #commons for public purpose and it is an important framework to be considered here as #AI should serve us all. Liviu Stirbat David Arranz European Commission Scientific Advice Mechanism

A well thought article, as usual, by Stefaan Verhulst, PhD. Personally, I don't think decentralisation is a goal per se. It is context-dependent. In the current European context, I applaud the ambition of the idea of CERN for AI, insofar it means striving for excellence, investing in R&D and not spreading the resources too thin. As Mario Draghi makes clear, Europe lags in top research centres. However, if you look at the most prominent case of AI in science disruption, Alphafold, it was a cross-institutional collaboration between top AI scientists (from Google Deepmind) and domain experts (biologists at EMBL, Cambridge, UK) who hosted the data, and knew them in depth. The same pattern can be seen in other cases: AI in science flourishes through the collaboration of AI experts and domain experts. In this sense, centralizing AI talent is unlikely to be effective. I would rather call for greater investment in excellent research across the board, from life sciences to new materials to climate sciences, and make sure that these top research centres have strong in-house AI capacity. A second question would be about the interaction between supercomputers and research centres. Because if a CERN of AI had to exist, it would normally be associated with a top supercomputer: LUMI in Finland, Mare Nostrum in Barcelona, or Leonardo in Italy. And this is actually happening, in Barcelona, where top scientists such as Francisco Doblas Reyes (climate) and Alfonso Valencia (computational biology) are already using AI to push the frontiers of their research. So in this sense, some concentration is already happening around supercomputers.

Von der Leyen Supports €100 Billion CERN AI Proposal 🎰💰 European Commission President Ursula von der Leyen has endorsed a €100 billion proposal by CERN to establish a new AI research facility. This ambitious initiative aims to position Europe as a global leader in AI innovation and research, leveraging CERN’s infrastructure and expertise. The proposal is part of broader efforts to boost the EU's competitiveness in the digital sector and ensure ethical standards in AI development. #3KeyQuestions About Europe's AI Leadership and the CERN Proposal 🤔 BUT, will Europe ever be able to position itself as a Global Leader in AI innovation and research? 1. Global Leadership in AI Innovation and Research?   ❎ Europe faces significant challenges in positioning itself as a global leader in AI, lagging behind the US and China. The proposed investment, while substantial, comes late and may lack strategic coherence. The effectiveness of these efforts remains uncertain without clear, forward-thinking policies and collaborations. 2. Facility Location?   ❎ The proposal suggests leveraging CERN's existing infrastructure in Switzerland. This location offers robust research capabilities and is more favorable than Brussels for such an advanced initiative.. #TG 3. Opportunities for AI Talent?  ❎  If the facility is established in Switzerland, it could indeed become an even more attractive destination for AI talent and enthusiasts, providing better opportunities and resources for innovation compared to other European regions. For more details, read the full article 👉 https://lnkd.in/e4iQCWFi #EuropeanCommission #AIInvestment #AIResearch #CERN 💭 💭 💭

🌟 Insightful Words from Nobel Laureate Demis Hassabis on AI and Science! 🌟 🚀 Demis Hassabis, CEO of Google DeepMind and recent Nobel Prize in Chemistry winner, shares a transformative vision for AI's role in science: - AGI Reality Check: Generative AI is vital, but Hassabis believes several more breakthroughs are needed before achieving Artificial General Intelligence. - Scientific Catalyst: AI tools like AlphaFold, which mapped 200M protein structures, highlight AI’s potential to solve real-world challenges, from curing diseases to achieving nuclear fusion. - Sustainability Outlook: While AI’s environmental impact is a concern, Hassabis envisions tools that optimize energy and tackle climate change. 💡 #AIforScience #Innovation #ArtificialIntelligence #AlphaFold #FutureTech

A claimed nanosecond response time for artificial neurons built using glass could change the AI training game “Because PSG (phosphosilicate glass) can withstand high voltages without breaking, it allows the protons to travel at ludicrous speeds while also being incredibly energy-efficient. The material is both common and easy to fabricate, making it not only the fastest option, but also a practical one. "Once you have an analog processor, you will no longer be training networks everyone else is working on," said lead author Murat Onen in the statement. "You will be training networks with unprecedented complexities that no one else can afford to, and therefore vastly outperform them all." "In other words, this is not a faster car, this is a spacecraft," he added.” https://lnkd.in/g6VV7bHq

🚀 It's captivating to see how AI is making waves in the world of astrophysics and drug discovery! AI is now at the forefront of powering and enhancing the research at SLAC - from solving mystifying cosmic puzzles about dark matter and neutrinos to accelerating the process of drug discovery. 🔬Aligning with the U.S. Department of Energy's vision for AI applications, SLAC is not only advancing our understanding of the universe but potentially saving lives by innovating the healthcare sphere. 💼 At KGUInternational.com, we firmly believe that AI has an endless array of applications, ranging from the depths of space to the intricacies of human health. 📅 If your business is looking to tap into the transformative power of AI and Automation, we'd love to talk! Schedule a free consultation with us now👇 https://lnkd.in/g28iUjVn [https://lnkd.in/g28iUjVn] #AI #ArtificialIntelligence #Automation #Innovation #BusinessTransformation #KGUInternational

Anima Anandkumar, Bren Professor of Computing and Mathematical Sciences, Caltech, shares her unique insights on the future of AI, bringing diversity to the sector, and AI’s positive impact on humanity. “It’s really inspiring to see the vision here of bringing energy and AI together”. “AI is going to have a huge, positive impact on humanity. Our ability to do much better scientific research - new inventions, new discoveries - we are just getting started, and we need everybody to come together to enable AI for understanding our world and all its complexities.” Visit the new AI Zone at ADIPEC, which provides a spotlight on the transformational impact that artificial intelligence will have on the energy transition. Register at https://bit.ly/48Gq4bt to attend ADIPEC 2025, taking place in Abu Dhabi from 3-6 November.   #ADIPEC #ADNOC #EnergyTransformation #Networking #Decarbonisation #DigitalTechnologies #Innovation

From Scientific Breakthroughs to Life-Saving Solutions with Google AI Google’s cutting-edge AI tools are reshaping science and delivering real-world impact: #AlphaFold 3 (Google DeepMind): Decoded 200M+ protein structures, driving breakthroughs in treatments for diseases like malaria and antibiotic resistance. #Connectomics AI (Brain Mapping): Partnered with Harvard to map the human brain at microscopic detail, advancing cures for Alzheimer’s and epilepsy. #GraphCast: Provides 10-day weather forecasts faster and more accurately, predicting cyclones and flooding with unmatched precision. #FloodHub: Expanded flood predictions to 100+ countries, protecting 700M+ people with 7-day lead times in regions like Bangladesh. #FireSat: Detects classroom-sized wildfires in 20 minutes, empowering firefighters to save lives and natural resources. #Quantum AI (Chemistry Simulations): Worked with UC Berkeley to simulate complex chemical reactions, paving the way for advanced batteries, solar cells, and carbon capture. #AIforFusion: Stabilized plasma inside nuclear reactors, bringing us closer to clean, limitless fusion energy. #GNoME (Graph Networks for Materials Exploration): Discovered 380,000 new stable materials for sustainable solar cells, batteries, and superconductors. #AlphaGeometry 2 & #AlphaProof: Solved 83% of International Math Olympiad geometry problems, enabling AI to assist with advanced mathematical discoveries. These tools are transforming challenges into solutions, redefining what’s possible with AI. What would you like AI doing next? #AI #GoogleDeepMind #FloodHub #QuantumAI #FireSat #Innovation #accessAlchemy read more : https://lnkd.in/g9YF9Z89

Unveiling the Cosmos: Humanity's Symbiotic Evolution The future of humanity intertwines with the potential of #quantum technologies. While directly experiencing the cosmos through quantum entanglement might be a future dream, imagine instantaneous, secure #communication across vast distances. This could revolutionise space exploration, fostering collaboration across interstellar stretches. New technologies will undeniably influence human evolution. However, it's more likely this evolution will be symbiotic – technology enhancing our capabilities rather than fundamentally altering our essence. Advancements in brain-computer interfaces or AI companions could elevate our cognitive abilities, allowing us to delve deeper into the universe's mysteries. The cornerstone of this #future may lie in quantum #entanglement communication (QEC). Imagine probes venturing into the cosmos, instantaneously sending real-time data back to Earth, regardless of distance. This could accelerate our understanding of space phenomena and potentially pave the way for faster-than-light travel through entangled particles. However, the true leap might be in the realm of consciousness. Imagine a future where AI companions, linked through QEC, assist us and learn from our experiences, mirroring and amplifying our knowledge. This "collective consciousness" could unlock a deeper understanding of the universe and ourselves. This future is not without its challenges. Ethical considerations regarding AI development and the potential for misuse of QEC technology must be addressed. But with careful planning, technology can become a #bridge, not a barrier, on humanity's path towards unveiling the secrets of the #cosmos.

A #CERNforAI could be Europe's path to global leadership in artificial intelligence. This ambitious project would pool resources across the continent, similar to the successful CERN model for physics research. Our new report breaks down the crucial components needed to make this a reality. Swipe through to explore how we can build a foundation for trustworthy AI development in Europe.