How To Break the Enabling Barrier of Artificial Intelligence
Updated: Aug 30, 2022
Breaking the enabling barrier of artificial intelligence applications in real challenges is key to realize social impacts and economic growth in marginalized communities.
Breaking the enabling barrier of artificial intelligence applications in real challenges is key to realize social impacts and economic growth in marginalized communities.
In Sub-Saharan Africa, International donor agencies are the key players of building technology through R&D in partnership with local universities.
Already programs that create home-grown and skilled artificial intelligence through development of talent, however more work and efforts is required.
I recently was on mission to Djibouti, managed to put researchers from various disciplinary with hope that it would increase interdisciplinary collaboration.
During the training, attention was given to align with innovation for ethical and relevant A.I. research in local- context. In order to advance the applied artificial intelligence in agriculture and environment and the contribution to the country and region
The team of researchers from departments of maths, statistics, computer science, hydrobiology and chemistry came together, with a main agenda discussions that focused on;
Agriculture produce supply, demand and market, Climate challenge impacts and implications
How to tackle challenges in climate
Understanding Image-based plant phenotyping tasks and techniques
The approach and key aspects of Image-based plant phenotyping
Data strategy and designing well structured data collection for specific tasks
Understanding models via data visualization and implication
The discussions and the technical engagements show a way to solve environmental problems with social impact.
Though, more work would also include mobilization of a network of African companies, universities, research centre, private and public institutions to collaborate on advancing the applied artificial intelligence agenda