#T2P2024 highlights!
Esaie Dufitimana works on measuring urban socioeconomic disparities in Kigali using Convolutional #NNs . With #satellite imagery, he combines human intelligence with #ML in areas lacking reliable ground truth data & computing infrastructure.
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#T2P2024 Highlights!
Mamadou Diallo's work focuses on using Physics Informed #NeuralNetworks (PINNs) to solve #PDEs in drying porous materials. Why PINNs? They minimize residuals of the governing equations & initial & boundary conditions without the need for labeled training data

Irene Uwerikowe works on a #MachineLearning framework to measure parent-child interactions in videos. Her proposed new ML framework automates assessing these interactions in videos, utilising advanced multimodal #DeepLearning models trained on similar videos
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