MIT scientists developed the "Earth Intelligence Engine," combining a GAN-based generative AI model with a physics-based flood model to generate realistic future flood satellite imagery. Tested on Houston using Hurricane Harvey data, the physics-reinforced method reduces AI hallucinations and accurately maps flood extents pixel by pixel, helping communities visualize risks and make evacuation decisions.

Genesis is an open-source universal physics engine, up to 80x faster than NVIDIA Isaac Gym and MuJoCo MJX. Built entirely in Python by 20+ research labs, it simulates diverse physical phenomena, supports generative data creation from natural language prompts, and features photo-realistic rendering. It aims to democratize robotics research and accelerate embodied AI development globally.

The Polymathic AI initiative, led by University of Cambridge and collaborators, released two open-source scientific training datasets totalling 115 terabytes covering astrophysics, biology, fluid dynamics, and more. Unlike domain-specific AI, these datasets aim to train cross-disciplinary models that transfer knowledge across scientific fields, potentially uncovering patterns and accelerating discoveries no human could achieve alone.

MIT scientists have developed a method combining a generative AI model with a physics-based flood model to create realistic satellite images of future flooding. Tested on Houston using Hurricane Harvey data, the physics-reinforced approach reduces AI hallucinations and accurately depicts flood extents. The tool could help residents and policymakers prepare and make evacuation decisions before storms hit.

Researchers at the University of Hawaiʻi have developed deep learning models to analyze data from the world's most powerful solar telescope, the NSF Inouye Solar Telescope. Part of the SPIn4D project, the AI models can map the sun's 3D atmosphere in near real-time, processing tens of terabytes of daily data. Trained on 120TB of simulated data, the models aim to improve solar storm prediction and space weather monitoring.