Museum of Science’s Post

At CloudWalk, our AI journey extends to the post-AGI horizon, exploring less obvious territories like consciousness and artificial life. I believe that the convergence between art, intelligence, consciousness, and nature will allow us to better understand the unfiltered, divergent nature of language models' latent space - a reality that will soon be omnipresent. This imminent future demands deep and multifaceted analysis. Art, in parallel with science, serves as an instrument for exploring these new frontiers. To navigate what's to come, we need to embrace diverse perspectives and strategies for understanding. And, with that, we launch our first Artistic and Research Residency: https://lnkd.in/d3B-Rguj Please help this post reach the unconventional pioneers minds that will transform the future.

🌟 Excited to share that Prof. Qihao Weng, Director of JC STEM Lab of Earth Observations & RCAIG, delivered a compelling keynote at #AsiaCarto2024 at The Hong Kong Polytechnic University! His talk “How Will AI Transform Satellite Mapping of Urban Areas?” explored the groundbreaking integration of AI & Earth observation in urban studies. Prof. Weng highlighted how AI enables deeper urban analysis and customized design solutions, while discussing both opportunities and challenges in this emerging field. The presentation sparked valuable discussions among attending scholars.   #AI #EarthObservation #UrbanMapping #AsiaCarto2024 

#TEDAI 2024 Panel Recap: "Science and Creativity" 🖋 🌍 What is the Promise of New Discoveries for Scientists and Creators? This thought-provoking panel explored the transformative potential of Generative AI in reshaping both scientific discovery and creativity. Panelists: Carlo Rovelli, Theoretical Physicist, World’s 50 Top Thinkers Surya Ganguli, professor at Stanford University and venture partner at a16z. Max Jaderberg, Chief AI Officer at Isomorphic Labs. Steven Johnson, Author and Editorial Director, NotebookLM Moderated by: Brad Stone, Editor at Bloomberg Businessweek. The session illuminated how GenAI is poised to revolutionize both scientific exploration and creative innovation. #TEDAI2024 #ScienceAndCreativity #AIInnovation #FutureOfScience

Great to moderate a panel of outstanding experts on AI addressing the Pursuit of Excellence in AI: Education to Careers at NMDSI 2024 Symposium. Start with the fundamentals and we will never stop learning....#AI #highereducation #highereducationleadership

𝐃𝐚𝐲3: 𝐓𝐡𝐞 𝐃𝐚𝐫𝐭𝐦𝐨𝐮𝐭𝐡 𝐂𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞: 𝐀 𝐌𝐢𝐥𝐞𝐬𝐭𝐨𝐧𝐞 𝐢𝐧 𝐀𝐈 𝐇𝐢𝐬𝐭𝐨𝐫𝐲 Explore the historic gathering that marked the birth of Artificial Intelligence as a field of study, setting the stage for decades of innovation and discovery! In the summer of 1956, a group of pioneering scientists and mathematicians convened at Dartmouth College for a historic event that would shape the future of Artificial Intelligence. The Dartmouth Conference, led by luminaries like John McCarthy and Marvin Minsky, marked the formal birth of AI as an interdisciplinary field of study. At Dartmouth, attendees discussed ambitious goals such as "making machines use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves." While the initial optimism surrounding AI led to inflated expectations, the conference laid the groundwork for decades of research and experimentation that would eventually yield significant breakthroughs. https://lnkd.in/gZTpAFV2 #AIHistory #ArtificialIntelligence #TechEvolution #AIOrigins #InnovationHistory #TechLegacy #AIInception #TechThrowback #HistoricalAI #AIJourney

A new era of discovery Google’s Senior Vice President for Research, Technology and Society, James Manyika, shares insights on AI's transformative potential in advancing science. AI is helping accelerate scientific discovery by: • Enabling researchers to look at many things at once and in new ways • Allowing many more people to participate in research • Facilitating landmark progress in multiple scientific disciplines, including life sciences and climate modeling. This is just the beginning - read James Manyika's full remarks from the AI for Science Forum to learn more about the potential of AI to transform science and society. Read the full article here: https://lnkd.in/dtJQ5vrM #AIforScience #ArtificialIntelligence #ScientificDiscovery #GoogleResearch #Innovation #AIimpact #ScienceandTechnology #FutureOfScience #DisruptiveInnovation #AcceleratingDiscovery

Responsible Machine Learning Summit, 2024: This all-day event, with a focus on “AI and Materials,” was held in UCSB’s Henley Hall today. In the opening keynote address, Eric Toberer (Colorado School of Mines) spoke about his own work and an alliance of more than a dozen institutions collaborating on emerging AI applications at the boundary of physics and material science. The keynote talk was followed by an interesting panel discussion, “Integrating AI into Material Discovery and Design.” For the full Summit program, see: https://lnkd.in/g_5ZHJMY

Generative AI: Powering Up Scientific Discovery 🌍🔍 Imagine a world where AI can not only analyze data but also generate entirely new information to solve scientific puzzles. This is the exciting realm of generative AI, and researchers are using it to tackle complex questions in physics, potentially accelerating the discovery of groundbreaking new materials. 🧠🔬 For further resources, you can explore [OpenAI's research on generative models](https://lnkd.in/eg5N4e3N) and [recent advances in AI for material science](https://lnkd.in/eb7g-gPN).

"Software is eating the world," a phrase coined by Marc Andreessen over a decade ago, rings truer today than ever, especially with the Nobel prizes in Physics and Chemistry awarded to pioneers in AI (John Hopfield, Geoffrey Hinton, Demis Hassabis and John Jumper). AI is transforming modern science and nearly every discipline in fascinating interdisciplinary ways, proving that we are only at the beginning of a revolutionary era. It's not far-fetched that, some day in the near future, we are going to see a miracle drug discovery by AI! #NobelPrize

Designing and building stellarators is a big challenge—which is why we're combining the domain expertise we have here at Proxima with the machine learning and optimization expertise of our partners at the Technical University of Munich, Forschungszentrum Jülich, The University of Bonn, and the Lamarr Institute. 🎥 Watch Proxima AI Lead Dr. Markus Kaiser, TUM Chair of Computer Vision and Artificial Intelligence Dr. Daniel Cremers, and Dr. Zorah Lähner of The University of Bonn and the Lamarr Institute explain how we'll be working together to advance fusion engineering with the help of ML. You can learn more about Proxima's approach to AI for fusion in our latest blog post: https://lnkd.in/gF3vD3QM