Advancing AI for African contexts
Our research lab develops AI technologies that understand and serve African languages, cultures, and needs.
Our research
Peer-reviewed papers and technical reports from our research team.
AfroLM: A Self-Supervised Language Model for African Languages
Okonkwo, A., Mensah, K., et al.
We present AfroLM, a multilingual language model pre-trained on 50 African languages, achieving state-of-the-art results on AfriSenti and other benchmarks.
Read PaperComputer Vision for Crop Disease Detection in Sub-Saharan Africa
Moyo, T., El-Amin, F., et al.
A mobile-optimized deep learning model for detecting 15 common crop diseases with 94% accuracy on smartphone images.
Read PaperEthical AI Frameworks for African Contexts
Benali, N., Adebayo, O., et al.
A comprehensive framework for responsible AI development that incorporates African values, communal ethics, and local contexts.
Read PaperWhat we research
Key areas where we're pushing the boundaries of AI for Africa.
African Language NLP
Building language models and NLP systems for over 100 African languages.
Computer Vision
Developing vision models for healthcare, agriculture, and infrastructure.
Responsible AI
Creating frameworks for ethical AI development in African contexts.
Edge AI
Optimizing models for deployment on low-resource devices.
Datasets for the community
Freely available datasets to support AI research and development in Africa.
AfriSpeech
Multi-accent African English speech corpus with 2,000+ hours.
AfriSenti
Sentiment analysis dataset for 14 African languages.
CropDiseaseAfrica
Images of crop diseases common in sub-Saharan Africa.
Collaborate with us
We're always looking for research partners, visiting researchers, and collaborators from academia and industry. Join us in advancing AI for Africa.
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