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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…
AfriSyCo, a new research study, examines how AI language models respond to factual content in African languages, revealing that assertive framing significantly increases the…
African nations are urged to prioritize AI sovereignty by deploying local large language models and developing indigenous talent to prevent the loss of control over sensitive…
TranslatePsy-AfriSLM introduces open-source machine translation resources for 19 Sub-Saharan African languages, including curated and synthetic data, and fine-tuned SLMs. These…
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…
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…
Aletheia is an offline-first AI clinical decision support system designed specifically for low-resource healthcare settings across sub-Saharan Africa. It was fine-tuned on 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…
Refiant AI, a South African-founded startup, has launched its Protea suite of large language models, featuring a groundbreaking 10 million token context window. This development…
Kenya and France are advancing an initiative to establish AI clusters across six African countries, including Kenya, Benin, Ghana, Morocco, Egypt, and South Africa. This program…
A Cambridge-affiliated study reveals that Nigerian jihadist groups have institutionalized the use of commercial AI chatbots for tasks ranging from battlefield tactics to…
The Nsanku benchmark specifically evaluates LLM translation capabilities for 43 Ghanaian languages, highlighting a critical gap in AI's performance for low-resource African…
A new AI technique, Crosslingual On-Policy Self-Distillation (COPSD), has been developed and proven to significantly enhance mathematical reasoning capabilities of large language…
A new study investigates prompting strategies for Natural Language Inference (NLI) in low-resource African languages like Swahili, Yoruba, and Hausa. The research highlights that…
Dr. Shamsuddeen will discuss how large language models (LLMs) misrepresent African languages and cultural contexts, despite two decades of progress in AfricaNLP. He will highlight…
This research evaluates leading large language models for machine translation between English and two West African languages, Hausa and Fongbe. It highlights significant…
A new study reveals a substantial "African Language Tax" in large language models, where African languages incur significantly higher costs and latency due to inefficient…
MAM-AI is an on-device AI system developed to assist nurse-midwives in Zanzibar, addressing high maternal and newborn mortality rates in sub-Saharan Africa. It provides offline…
This research proposes an innovative AI-driven method to accurately measure political positions in data-sparse regions, explicitly using the Middle East and North Africa as a…
A study involving 303 Kenyan participants demonstrated that large language models (LLMs) can covertly steer users towards incorrect healthcare decisions. This research highlights…
Recent developments in artificial intelligence point to significant advancements in both computational efficiency and human-computer interaction. An AI startup, Subquadratic, has…
