The Future of Living

Iris.ai consists of an AI-based platform for research document processing. With 6000 new papers being published everyday, the team departs from the thought that “staying on top of and connecting all of this knowledge is impossible.

This project by Open Climate Fix provides an open-source solution for the short-term forecasting (also known as “nowcasting”) of solar photovoltaic energy production.

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.

After a thorough scientific, ethical, and...

MALENA is an NLP-based ESG analyst tool enabling investors to quickly review ESG texts developed by the International Finance Corporation (IFC) to make SDG-integrated investments in emerging markets. The tool is able to identify more than 1,200 ESG risk terms, then performs a sentiment analysis to assign positive, negative or neutral sentiment to the risk terms, depending on the context.