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 169-176 of 176 articles

For stratospheric aerosol injection calibration using autonomous high-altitude balloon networks

Enhancing data security in blockchain for carbon credit verification using zero-knowledge proofs

Employing spectral analysis AI for real-time detection of microplastic pollution in urban waterways

Advancing ocean iron fertilization monitoring with autonomous underwater drones

Embodied active learning in robotics for adaptive deep-sea exploration

Employing spectral analysis AI to detect early-stage crop diseases during circadian rhythm minima

Employing spectral analysis AI for early detection of crop diseases

Mapping global methane leaks using autonomous drones with hyperspectral sensors for 2025 regulatory compliance