Engineering analysis, policy scrutiny and field reporting on how artificial intelligence is built, funded and governed across Africa.
Yoruba is one of Africa most widely spoken languages, yet its tonal system and diacritic marks make it particularly challenging for natural language processing.
AI fluency without data competence creates a dangerous skills gap in data teams, says Andreas Bartsch, head of innovation and services at PBT Group.
AI tools are being used to document, teach, and preserve endangered African languages before their last native speakers pass away.
MHS is currently being made available through a limited research preview to organisations across science, robotics, electronics and advanced manufacturing.
African social media platforms are developing AI moderation tools that can understand hate speech, misinformation, and harmful content in local languages.
AI PCs demand a new approach to procurement, data sovereignty and channel engagement.
The framework is intended to guide the responsible development, deployment and use of AI in business.
Researchers compare the performance of large multilingual models against smaller language-specific models for African NLP tasks, with surprising results.
Collecting high-quality training data for African language AI models requires new economic models that fairly compensate community contributors.
One digest a week: new engineering breakdowns, continental policy moves, tools worth testing, and funding signals from across Africa.
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