#Machine Learning

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A microcontroller development board with a microphone and environmental sensor connected on a breadboard

Jul 24, 2026 · Mustapha Moshood Olawale

Edge AI and TinyML: Running Machine Learning on Microcontrollers and Embedded Devices

Not every AI model belongs in the cloud. TinyML puts inference on microcontrollers that sip milliwatts, enabling smart sensors that work offline, protect privacy and cost very little. For regions …

Edge AI #Embedded Systems #IoT #Machine Learning Read post →

A group of researchers annotating text in Yoruba, Hausa and Igbo on laptops around a shared table

Jul 20, 2026 · Mustapha Moshood Olawale

Building NLP for African Languages: Lessons from Low-Resource Language Technology

Africa is home to a vast share of the world's languages, yet most AI systems still serve only a handful of them well. Closing that gap requires more than bigger …

Natural Language Processing #Africa #Low-Resource Languages #Machine Learning Read post →

A researcher in a laboratory examining a 3D protein structure visualisation on a monitor beside lab equipment

Jul 12, 2026 · Mustapha Moshood Olawale

AI as a Lab Partner: How Machine Learning Is Changing Scientific Research

From predicting protein structures to proposing new materials, AI has become a genuine collaborator in the lab. But a model that suggests a thousand candidates is only useful if scientists …

Scientific Research #Deep Learning #Machine Learning #Research Read post →

A geospatial map showing layered geological data, fault lines and highlighted mineral prospectivity zones

Jul 04, 2026 · Mustapha Moshood Olawale

AI in Mining and Mineral Exploration: Geospatial Machine Learning for Natural Resources

The energy transition depends on minerals such as lithium, cobalt and copper, and finding new deposits is getting harder. Machine learning applied to geological, geophysical and satellite data is helping …

Mining & Natural Resources #Africa #GIS #Machine Learning Read post →