Pachama Originals is a project that harnesses the combined power of AI and satellite data to monitor how much carbon is stored in forests and how forests change over time and informs companies on investments in carbon credits.
Mbaza AI offers an open-source algorithm that enables a large-scale monitoring of biodiversity trends in remote ecosystems, even without a reliable internet connection or advanced hardware.
AfroLID marks a milestone in working towards a more Afrocentric approach to technology development, enabling technologies to be built, evaluated and deployed according to the needs of local African communities.
This EPOS project proposes an inspiring AI-powered approach aiming to improve the coordination of collective learning and decision-making in smart cities.
Mobius offers an AI-assisted system aimed at detecting, locating and classifying whales. By conducting image analysis based on remote aerial imagery, this project can greatly assist humans in their efforts to reduce harm to wildlife.
This project provides an inspiring example of an AI-based referral system for patients with diabetic retinopathy. Aware of the high prevalence of diabetes and a shortage of ophthalmologists and eye illness detections services in the Mexican State of Jalisco, the founding members of this
project developed an AI model based on deep convolutional neural networks (DCNN) to enable a timelier detection of Diabetic Retinopathy in people’s eyes. The trained models preprocess and evaluate the suitability and quality and classify relevant ocular documentation with an exceptional specificity and sensitivity on local data.