Category
A new open-source project, TranslatePsy-AfriSLM, is tackling the critical lack of high-quality machine translation for 19 Sub-Saharan African languages. This initiative provides…
This study critically examines adaptive inference for Natural Language Inference (NLI) in 15 African languages, highlighting issues with the AfriXNLI benchmark's data overlap and…
A new AI model, VEXMLM, significantly improves language processing for Ge'ez-script African languages like Amharic and Tigrinya. These advancements also transfer to 17 other…
This research introduces a scalable AI-driven method using satellite imagery to map cashew orchards across Guinea-Bissau, a critical step for environmental monitoring. The project…
This research develops a machine learning framework specifically tailored to detect money laundering in Rwanda's mobile money system, addressing the unique challenges of high…
This research applies machine learning to satellite imagery for the first time to map cashew orchards across all of Guinea-Bissau. This nationwide mapping is crucial for…
A new study demonstrates that AI safety measures, primarily built in English, are largely ineffective in African languages like Twi, Hausa, Amharic, and Swahili. This exposes a…
This study evaluates deep learning object detection models using AgriAISeg, a real-world multi-plant dataset manually collected from Nigerian farms. The research aims to improve…
This study specifically uses brain scans from the BraTS-Africa dataset to evaluate the robustness of 3D medical AI models against MRI artifacts. The findings are crucial for the…
The South African Medical Research Council and the University of Cape Town have launched an AI unit dedicated to African population health. This unit will develop machine learning…
A pan-African initiative, the Science Granting Councils Initiative (SGCI), has announced CA$12 million in research funding with a significant focus on Artificial Intelligence and…
Moroccan researchers are developing an AI-driven system combining drones, sensors, and satellite data to detect toxic algal blooms in reservoirs, a critical innovation for a…
DONDO is an open-source AI project providing automatic speech recognition models specifically for twenty-seven African language varieties across six countries. These models aim to…
This research directly addresses the challenges of developing automatic speech recognition for low-resource African languages. The study utilized two Africa-centric datasets to…
A South African PhD study has developed a multilingual AI framework to detect misinformation in isiZulu and Sepedi, addressing a critical gap where most AI tools only cover…
A new tool designed to detect hidden biases in medical AI training data is particularly significant for African healthcare. With the continent's rapidly expanding medical AI…
Researchers have developed TTSYoruba, an advanced text-to-speech system specifically for the Yoruba language, a major language spoken across West Africa. This innovation addresses…
This study demonstrates a significant step in adapting advanced AI speech recognition technology for specific Kenyan languages, including Kikuyu, Dholuo, and Kalenjin. By…
The Durban University of Technology hosted the first African DataScientia International Symposium, launching a continental Living Lab focused on "Diversity-Aware Sovereign AI."…
This research significantly advances AI's capability to adapt multilingual models to low-resource languages by evaluating its novel DeltaMerge-LowRes method on four African…
Researchers have developed VEXMLM, an AI model specifically designed to improve natural language processing for Ge'ez-script languages like Amharic and Tigrinya, and 17 other…
AfriVox-v2 is a new benchmark specifically designed to evaluate speech recognition models under realistic and noisy African conditions. It focuses on African languages and diverse…
This research presents the first end-to-end Text-to-Speech (TTS) study for Efik, a tonal language spoken in Southeastern Nigeria, addressing its underrepresentation in digital…
A new study exploring Automatic Speech Recognition for low-resource African languages found that linguistic relatedness alone is not a reliable predictor for cross-lingual…
