EESC-USP researchers are innovating with drones that use AI and gas sensors to detect forest fires and monitor greenhouse gas emissions in real-time.
SPROUT, an innovative vine robot, navigates rubble to assist emergency responders, providing critical mapping and situational awareness in disaster scenarios.
The Spectrum Transformer model advances satellite-based CO2 monitoring, ensuring accurate, efficient data retrieval essential for global climate strategies.
Dr. Glombitza's research demonstrates AI's effectiveness in cosmic radiation analysis, achieving mass estimations in a fraction of the time previously required.
An EPFL start-up called Synature has created a smart microphone system that can record and analyze animal sounds to aid environmental conservation efforts which allow organizations, nature stewards, and consultants to expand their research on the environment and animal behavior, help officials and policymakers make informed decisions, and evaluate the effects of changes to natural habitats, such as the establishment of a natural reserve or the construction of new buildings.
AI-driven Hall thruster technology from KAIST will be demonstrated on the K-HERO CubeSat, advancing high-efficiency electric propulsion for space missions.
MIT's robotic insects, engineered for efficient pollination, aim to increase agricultural productivity and sustainability through advanced flight capabilities.
By combining physics-based data with algorithms powered by generative AI tools like DALL-E, improved methods for modeling the Earth's climate are being developed. Computer scientists in San Diego and Seattle ???????are using this approach to create a model that predicts climate patterns over a century, performing 25 times faster than current methods.
The world’s first AI-designed urban wind turbine, customized to the particular wind conditions of a particular region, was unveiled by precision metal fabricators KwikFab and AI design experts EvoPhase.
Researchers at the University of Pennsylvania School of Engineering and Applied Science (Penn Engineering) have introduced PanoRadar, a novel tool designed to enhance robotic vision by converting basic radio waves into detailed, 3D representations of the environment.
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