Atomfair Brainwave Hub: SciBase II / Artificial Intelligence and Machine Learning / AI-driven solutions for environmental and climate challenges

AI-driven solutions for environmental and climate challenges

Showing 97-108 of 176 articles

Optimizing urban green spaces for heat resilience in 2040 megacities

Autonomous methane detection drones for real-time monitoring of landfill emissions

Deploying autonomous methane detection drones for real-time landfill emissions monitoring

Enhancing precision agriculture through smart metrology integration with drone swarms

Bridging current and next-gen AI through hybrid neuromorphic computing architectures

Ethology-inspired swarm robotics for underground mine rescue operations in GPS-denied environments

Mapping tectonic plate movements using deep-sea fiber optic sensing

Employing spectral analysis AI for real-time monitoring of industrial carbon capture systems

Employing soft robot control policies for delicate underwater archaeology

Stratospheric aerosol injection calibration using high-altitude autonomous drone swarms

Optimizing stratospheric aerosol injection calibration for regional climate stabilization

Bridging bat echolocation principles with underwater sonar for stealth navigation