MIT Portugal Program’s Post

🌊 What if we could see the future impact of storms before they strike? 💡MIT researchers have combined generative AI with physics-based modelling to create realistic satellite images of potential flood zones, helping communities prepare and make life-saving decisions. 👏 Massachusetts Institute of Technology | IEEE.org | NASA - National Aeronautics and Space Administration | Google | MIT Portugal Program | Dava Newman | Jennifer Chu | MIT Media Lab | Björn Lütjens #AI #ClimateTech #DisasterPreparedness #GenerativeAI #FloodModeling #HurricaneResponse #MITResearch #Sustainability #Innovation #RemoteSensing #ClimateResilience #DataScience #FutureTech #PhysicsAI #StormSurge #EnvironmentalImpact #EvacuationPlanning #TechForGood #ArtificialIntelligence

MIT News: MIT scientists have developed a method that generates satellite imagery from the future to depict how a region would look after a potential flooding event. The method combines a generative artificial intelligence model with a physics-based flood model to create realistic, birds-eye-view images of a region, showing where flooding is likely to occur given the strength of an oncoming storm. “The idea is: One day, we could use this before a hurricane, where it provides an additional visualization layer for the public,” says MIT CS3-affiliated researcher Björn Lütjens, a postdoc in MIT’s Department of Earth, Atmospheric and Planetary Sciences, who led the research while he was a doctoral student in MIT’s Department of Aeronautics and Astronautics (AeroAstro). “One of the biggest challenges is encouraging people to evacuate when they are at risk. Maybe this could be another visualization to help increase that readiness.” https://bit.ly/4i8vSin #climate #flood #hurricane #AI MIT Department of Earth, Atmospheric and Planetary Sciences MIT AeroAstro MIT Environmental Solutions Initiative MIT Climate MIT School of Science

NASA's 'Wildfire Digital Twin' pioneers new AI models and streaming data techniques for forecasting fire and smoke - AI and machine learning merge data from various sensors to produce high-precision global models. - Spatial resolution improves drastically to 10-30 meters per pixel, enhancing accuracy by two orders of magnitude. - Models can be generated within minutes, a significant upgrade from current models that take hours. - Led by Prof. Milton Halem, the project involves over 20 researchers from six universities. - Aimed at providing timely information to firefighters, the tool can run on laptops or tablets without internet access. - Supported by NASA's FireSense project and Earth Science Technology Office, focusing on wildfire management and disaster mitigation. - Earth System Digital Twins offer real-time modeling for climate events, aiding scientists and first responders. - The project targets improved understanding of global wildfire trends, particularly in boreal forests. - Data assimilation from sensors in real-time crucial for assessing wildfires' local, regional, and global impacts. #NASA #Wildfire #AI #DataScience

NASA - National Aeronautics and Space Administration and IBM Research have joined forces to create a groundbreaking AI model, Prithvi-weather-climate, poised to revolutionize weather and climate predictions with unprecedented accuracy. In a remarkable collaboration, NASA and IBM Research have unveiled the Prithvi-weather-climate foundational model. Leveraging the power of AI, this model promises to transform our ability to predict and respond to weather and climate phenomena. By harnessing NASA's extensive data and advanced AI techniques, the model aims to enhance regional and local weather forecasts, improve climate projections, and provide actionable insights for communities worldwide. 🌍 Revolutionizing Climate Predictions: Prithvi-weather-climate uses AI to deliver highly accurate regional and local weather and climate models. 📊 Advanced AI Integration: The model is trained on vast datasets, utilizing AI to apply patterns across diverse scenarios for improved forecasting. 🚀Empowering Local Communities: The Prithvi weather-climate model's high-resolution projections are not just numbers on a screen. They are tools that support better decision-making for preparing, responding to, and mitigating climate impacts, directly benefiting communities worldwide. 🤝 Collaborative Development: Developed in partnership with IBM Research, Oak Ridge National Laboratory, and other institutions, ensuring a broad approach. 📡 Open Access and Scalability: The model will be available on platforms like Hugging Face, promoting global collaboration and democratizing access to NASA's scientific data. #NASA #IBMResearch #AI #ClimateChange #WeatherForecasting #PrithviModel #AIinScience #ClimateTech #OpenScience #DataScience

A Big Boost for Earth Science: NASA and IBM Join Forces in 2023 NASA teamed up with IBM Research to create a groundbreaking AI tool. This "geospatial foundation model" is like a super-powered brain, trained on massive datasets of Earth observation data from NASA. This paves the way for a new era of environmental studies using artificial intelligence to tackle critical challenges facing our planet. #AI #ClimateChange #Innovation

NASA - National Aeronautics and Space Administration and IBM Collaborate on #PrithviWxC: A Game-Changing #AI for Weather and Climate In an exciting development, NASA and IBM have introduced Prithvi WxC, a cutting-edge AI foundation model designed to revolutionize weather forecasting and climate predictions. Interestingly, the name Prithvi—which means Earth in Hindi—could reflect the global scope of this model and may hint at contributions from Indian scientists in this groundbreaking project. With 2.3 billion parameters, Prithvi WxC is trained on NASA’s MERRA-2 dataset, which spans decades of atmospheric data, making it a powerful tool for addressing challenges in climate science, disaster preparedness, and agriculture. What sets Prithvi WxC apart is its versatility. Unlike task-specific models, this foundation model can be fine-tuned for multiple applications, from forecasting extreme weather events to improving agricultural planning. NASA and IBM are also embracing open science by making the model and its training workflows available on Hugging Face, potentially accelerating innovations in AI-powered climate research. PDF Document of the Prithvi WxC attached. #AI #ClimateChange #WeatherPrediction #NASA #IBM #HuggingFace #ArtificialIntelligence #OpenSource #Prithvi #ClimateScience

#Weatherprediction, traditionally a vastly complex task made possible by using data from satellites and surface sensors, has seen notable advancements over the past few decades. Companies like Google, #IBM, NASA and Previsico are all utilising #AI's data processing capabilities to make improvements to #meteorology right now. #innovation #forecasting

The integration of AI in Earth observation is reshaping our understanding of the planet. NASA and IBM collaborate on Granite, a powerful AI model that leverages satellite data to address environmental challenges effectively. Key Points: - Granite enables data-driven decision-making, empowering stakeholders to make informed choices for sustainable development and disaster management. - The partnership between NASA and IBM signifies a new era of collaborative innovation, merging Earth science expertise with advanced AI capabilities. - Engaging diverse communities in Earth observation discussions is crucial for inspiring collective action and fostering a deeper understanding of environmental issues. - Granite on Hugging Face: https://lnkd.in/dwbkrMm7 - IBM Granite. https://lnkd.in/dMHzj2ev #AI #EarthObservation #Granite #NASA #IBM #DataScience #Sustainability #ClimateChange #Innovation

AI is transforming space exploration through: 🔸 Efficient Data Analysis: AI processes and analyses vast amounts of data from satellites, rovers, and telescopes quickly, enhancing image and signal analysis. 🔸 Pattern Recognition: AI identifies subtle patterns, aiding in the discovery of celestial objects and predicting space weather. 🔸 Autonomous Operations: AI enables rovers and satellites to perform tasks and make decisions independently, improving mission efficiency. 🔸 Real-time Decision Making: AI optimises mission parameters and responds to emergencies promptly. 🔸 Data Interpretation: AI integrates and interprets complex data, enhancing understanding and enabling better scientific research. Examples: NASA’s Mars rovers use AI for navigation, SETI applies AI to search for alien signals, and the Hubble Telescope benefits from AI in data processing.

NASA - National Aeronautics and Space Administration uses AI and open science to advance disaster research and recovery. The NASA Disasters Program supports disaster risk reduction by providing actionable data to aid organizations responding to natural disasters like Hurricane Ida. Hurricane Ida, which hit Louisiana in August 2021, was one of the deadliest hurricanes, causing widespread damage and affecting millions. During the hurricane, NASA provided data on soil moisture changes, vegetation, precipitation, and power outages to support ground responders. NASA shared this data through its Disasters Mapping Portal and coordinated with other agencies to enhance response efforts. Using AI, NASA identified blue tarps on rooftops after hurricanes to assess community damage levels. NASA and IBM are developing open-source AI models to make satellite data more accessible, helping users make informed decisions during disasters. Kevin Murphy from NASA said their AI models are meant to be efficient and adaptable, helping response teams act quickly. Read more: https://lnkd.in/eY-qHj_N #ai #artificialintelligence