Africa’s broadband lags, with high costs & slow speeds. Current measurement tools, designed in the West, don’t fit Africa’s context. We propose a cost-effective, context-based mobile broadband measurement infrastructure.

Birth Asphyxia (BA) is a leading cause of over 2 million annual under-five deaths worldwide, with a disproportionate impact on developing countries; survivors often face not just neurocognitive challenges but also a range of other health issues. We leverage audio analysis and machine learning to enhance Birth Asphyxia (BA) diagnosis, emphasizing privacy preservation through Federated Learning.

We examine multitask learning in Natural Language Processing for the Fon language using a hard parameter-sharing approach. Tasks include Named Entity Recognition (NER) and Part of Speech (POS) Tagging, demonstrating the benefits of cross-linguality in low-resource contexts.

Socio-cultural factors play a significant role in achieving the trust and acceptance required to realize the potential of artifiical intelligence and robotics. Consequently, culturally sensitive human-robot interaction is essential for the adoption of social robots in Africa. This paper presents a system arhitecture for cultural-sensitive HRI in Afric using the Pepper humanoid robot.

The achievement of sustainable development goals requires collaboration and inclusivity among stakeholders, with artificial intelligence (AI) and robotics considered powerful tools for leveraging solutions. In this poster, we argue that inclusivity cannot be achieved without cultural sensitivity being factored into the design of AI and robotics technologies.

We designed an electronic white cane using sensor technology to aid visually impaired individuals. The cane identifies obstacles within a 2-meter range and provides vocal instructions through a Bluetooth headset and a mobile application.