Hrishikesh Kute’s Post

Artificial intelligence (AI) enables sophisticated climate modelling & simulation. Scientists & policymakers can greatly benefit from AI to understand complex climate systems & simulate scenarios to assess potential impacts of policies & interventions. 👉https://lnkd.in/e2hqZwTE

Excited to share 🌟: SEEDS is pioneering the future of weather forecasting with generative AI! 🌦️💡 https://lnkd.in/eapYmvxa This breakthrough demonstrates how AI can enhance numerical weather prediction, offering a glimpse into faster, more accurate forecasts. We're eager to see how this tech will advance climate risk assessment and uncertainty quantification in climate projections. The future of climate science is here! 🚀🌍 #GenerativeAI #WeatherPrediction #ClimateInnovation

🌍 AI Climate Modeling: Predict climate patterns with AI tools like ClimateEngine and Earth.ai. Analyze data and model environmental changes. #ClimateModeling #AISustainability

MVL Partner Keith Rosema and Advisor Kelci Zile consider the potential impact of generative AI on current climate challenges. From recommending new building materials to predicting natural disasters, the possibilities are endless. Where do you see generative AI having the biggest effect on climate change? Let us know in the comments! Read more here: https://bit.ly/3OWFe3z #EthicalAI #FoundationModels #ClimateStartups #ClimateTech #ClimateAI

AI for Climate - ISC High Performance 2024 Right now Torsten Hoefler is speaking in The Trillion Parameter Consortium (TPC) workshop at #ISC24 about using AI methods for climate predictions. #ISC24 #ReinventingHPC #AI4Science

A new study showcases significant advances in weather and climate modeling, by taking AI technologies and fusing them with some components of standard, physics-based models. Why it matters: Its creators say the new model, dubbed "NeuralGCM," has proven to be more accurate than other purely machine learning-based models for one- to 10-day weather forecasts, along with the top extended-range models in use today

🌍🤖 Exciting news in climate science! Researchers at Sandia National Laboratories have developed an AI that can simulate 80 years of climate data in just 5 minutes! 🚀 This Graph Convolutional Neural Network (GCNN) is a game-changer, potentially revolutionizing how we study and respond to climate change. Curious about how AI is accelerating climate research? Check out our latest article on EngiSphere to learn more! What do you think: How might this rapid simulation capability change climate policy discussions? Share your thoughts below! 💭 Kudos to the brilliant minds behind this breakthrough: Kevin Potter, Carianne Martinez, Reina Pradhan, Samantha Brozak, Steven Sleder, and Lauren Wheeler! 👏 #ClimateAI #ScienceBreakthrough #MachineLearning #ClimateAction

A new computer model that combines conventional weather-forecasting technology with machine learning has outperformed other AI at predicting weather and climate trends. Read more in Nature: https://lnkd.in/eWHbcDSG And join the ISR today to collaborate on preparing for weather-related disasters: https://lnkd.in/erXaYnVF

Interesting to see Sarah Russell and her team introduce Bellwether, a project by X, the moonshot factory. Bellwether is defined by X as “The first prediction engine for the Earth and everything on it”. As we are all flooded by AI news and noise it’s important that we keep focus on the most important problems we need to solve with technology and climate change is at the top of our priorities. Bellwether is another validation point for me that AI and climate are going to be big and important. And I predict a wave of founders combining the two. Bellwether is exploring how AI models can help us leverage physical world 🌎 data and help predict things about it. With climate change accelerated, the changes to the physical world are more extreme in their amplitude and frequency and it’s important to be able to react to those changes from wildfires, to extreme weather. Their technology uses geospatial data and advanced simulations to come up with new insights about nature and the built environment. They analyse petabytes of historical data about the environment in combination with thousands of risk drivers like tree species, wind qualities, and types of infrastructure. They claim to have a five year prediction which will help public and private sectors to derisk and react. We see this clearly with investors and insurance companies that wish to avoid risk and bring as much certainty as they can in a world where geopolitical risks, pandemics and other changes influence markets and supply chains. There are many startups and companies working on the same problem of prediction and climate risk, but the advancement of models like GPT-4 above will help analyse larger sets of data and become smarter about the generative part of the insights. https://lnkd.in/eRhSVhBY #climatetech #AI #climaterisk #geospatial #machinelearning #artificialintelligence #sustainability #innovation Charles Spirakis Mandy Jubang Linus Scheibenreif Josh Jeffery Qian Huang

The talk on #Google's AI-powered weather and climate model, NeuralGCM, is now live!!! If you missed the #BuzzRobot meetup with Stephan Hoyer from Google Research, catch up on his insights into this hybrid AI and physics-based model of Earth's atmosphere. #AI #ClimateModeling #AIweatherforecasting #NeuralGCM #GoogleResearch #BuzzRobot #WeatherAI #MachineLearning #AIResearch #AIphysics https://lnkd.in/eArG36-z