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 109-120 of 176 articles

Marrying ethology with swarm robotics for autonomous wildlife monitoring

Employing spectral analysis AI for real-time pollutant detection in urban air

Using blockchain for transparent and tamper-proof carbon credit verification in global markets

Aligning renewable energy storage strategies with El Niño oscillations for grid stability

Projecting 2030 infrastructure needs for Arctic shipping routes under ice melt scenarios

Autonomous methane detection drones for precision monitoring of landfill emissions

Autonomous methane detection drones with real-time hyperspectral imaging for landfill monitoring

Spectral analysis AI for real-time detection of atmospheric microplastics using LIDAR

CRISPR-Cas12a gene editing for drought-resistant crops with embodied active learning

Boosting crop resilience via biochar soil enhancement and embodied active learning

Highlighting understudied applications of morphological computation in soft robotics

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