An AI-powered landslide monitoring technique which saves lives
Landslides are one of the most frequent geological events worldwide. Between 1998 and 2017, they killed 18 thousand people and affected
AI for Decarbonisation
AI plays a pivotal role in enhancing renewable energy storage and distribution, and monitoring carbon footprints.
AI Applications in Decarbonisation
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Employ cameras and AI to monitor crop health, predict yields, and optimise harvest timing, significantly increasing agricultural output and sustainability.
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Monitor and analyse energy usage across facilities in real-time, enabling AI-driven systems to optimise processes and reduce carbon emissions.
why use AI in Decarbonisation?
Efficiency
AI algorithms help in predicting consumer demand, optimising stock levels, and reducing overstock and understock situations.
Quality Control
Overcome issues caused by product overlap and pricing conflict to increase profitability in online sales.
Decision Support
AI aids in risk-free strategy testing and predictive maintenance, supporting eco-friendly decisions.
AI in Decarbonisation Projects
Generative Deep Learning for Image Anomaly Detection
How does Machine Learning really work Find out how AI can optimise image anomaly detection
AI Solutions
Resources
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