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This research evaluates machine learning models for tuberculosis screening using clinical data gathered in Uganda and South Africa. The study demonstrates the viability of…
A new rule-based AI speech synthesizer, TTSYoruba, has been developed specifically for the Yoruba language, addressing its complex tonal and phonetic features. This system is…
This paper proposes "Model as a Library" (MaaL), an AI architecture specifically designed to address the challenges of language diversity and low digital literacy in African…
This research introduces MGhana-ST, a new speech translation dataset for four low-resource Ghanaian languages, significantly enhancing AI capabilities for African languages. The…
This research introduces RunyaNER, the first publicly available Named Entity Recognition (NER) benchmark for Runyankore, an East African language. This dataset and the…
This research provides vital empirical data and guidance for developing AI models for African languages, specifically addressing data labeling budgets and the effectiveness of…
This study rigorously analyzes how the Gemma 4 31B AI model represents African languages, identifying distinct regional and family patterns. It also explores how the model…
This research directly addresses the challenge of deploying reliable AI text classifiers in low-resource African languages. It demonstrates that language-specific confidence…
This research introduces VEXMLM, an AI model specifically designed to enhance natural language processing for Amharic and Tigrinya, two significant Ge'ez-script languages spoken…
AI-based weather prediction models are demonstrating significant potential for improving rainfall forecasts across Africa, offering a computationally efficient alternative to…
A new R101 million Pan-African research program, led by the University of Cape Town, is integrating AI-powered microscopy to study infectious diseases like TB and malaria. This…
A new AI framework for glaucoma screening has been developed and evaluated using data from a West African population, specifically Nigeria. This solution combines interpretable AI…
This study employs a machine-learning framework to demonstrate a causal link between credit access and reduced food insecurity in Somalia and the broader Horn of Africa. The…
This research provides a machine learning-driven framework to better predict food insecurity in sub-Saharan Africa by factoring in climate variability. It identifies specific…
The 'AI Incubator' program offers $10,000 fellowships and mentorship to African researchers using AI for drug discovery, specifically targeting infectious diseases prevalent on…
This research directly addresses the exclusion of smallholder farmers in Sub-Saharan Africa from carbon farming initiatives, proposing AI-driven contract designs to overcome…
This research directly addresses a critical methodological challenge in building AI for African languages, showing that current synthetic data quality metrics do not predict…
AfriSyCo, a new research study, examines how AI language models respond to factual content in African languages, revealing that assertive framing significantly increases the…
Aletheia is an offline-first AI clinical decision support system specifically designed for low-resource healthcare settings across sub-Saharan Africa, addressing the critical lack…
AfriSwitch is a new 61.36-hour benchmark dataset of human-transcribed, real-world code-switched speech across 16 African languages. It reveals that current AI speech recognition…
TranslatePsy-AfriSLM introduces open-source machine translation resources for 19 Sub-Saharan African languages, including curated and synthetic data, and fine-tuned SLMs. These…
A new machine learning method uses satellite imagery to predict poverty levels across Africa, providing crucial uncertainty estimates for policymakers. This innovation helps…
This research directly addresses the performance gap of large language models for low-resource languages by focusing on ten African languages. It proposes geometric regularization…
This research introduces an uncertainty-aware AI method for poverty mapping across Africa, crucial for supplementing limited high-resolution poverty data on the continent. By…
