Theofrida Maginga on Muck Rack

Theofrida Maginga

As seen in: Nature, Tanzania Digest
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Mapping the potential and limitations of using generative AI technologies to address socio-economic challenges in LMICs - Nature Computational Science

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By Rachel Adams, Fola Adeleke, Leah Junck, Aarushi Gupta, Urvashi Aneja, Samuel Segun, Rosalind Parkes-Ratanshi, Selam Abdella, Mark Gaffley, Scott Mahoney , Rirhandzu Makamu, Nana Eghele Adade, Liping Bian, Timothy M. Kintu, Atwine Mugume, Aline Germani, Michelle El Kawak, Bheeshma Patel, Olanrewaju Lawa, Sara Khalid, Olubayo Adekanmbi, Rasheedat Sikiru, Toyib Ogunremi, Farhan Isak Yusuf, Hanna Minaye, Imo Etuk, Jimmy Nsenga, Uma Urs, Marzia Zaman, Khondaker A. Mamun, Vivian Resende, Rositsa Zaimova, Mamadou Diallo, Nana Kofi Quakyi, Xiao Fan Liu, Daudi Jjingo, Imad H Elhajj, Joyce Nakatumba-Nabende, Tamlyn Eslie Roman, Maryam Mustafa, Brenda Hendry, Yogesh Hooda, Chinazo Anebelundu, Bishesh Khanal, Faisal Sultan, Nirmal Ravi, Darlington Akogo, Zameer Brey, Dave Cohen, Joshua L. Proctor, Essa Mohamedali, Nneka Mobisson, Amelia Taylor, João Victor Archegas, Amrita Mahale, Neal Lesh, Enrica Duncan, Theofrida Maginga, Tue Vo, Trang Nguyen, Trang Nguyễn, Trạng nguyên, Robert R Korom, Michael Leventhal, Shashi Jain, Praveen Devarsetty, Jane Hirst, Ankita Sharma, Moinul Haque Chowdhury, Henrique Lima, Caroline Govathson, Sarah Morris
| Nature
Abstract Drawing on the experiences and lessons learned from researchers based in low- and middle-income countries (LMICs) that leverage generative artificial intelligence (GenAI) technologies to address socio-economic challenges, we showcase the considerable potential to use GenAI to accelerate the progress towards achieving some of the Sustainable Development Goals, as well as considerable obstacles for creating locally adapted AI tools for fair development in LMICs. An expanded evidence...
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Advancing Maize Farming in Tanzania: An Experience from Large-Scale Farms Visit in Rukwa Region

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By Gibson Mulokozi, Theofrida Maginga, byGibson Mulokozi
| Tanzania Digest
Several days ago, a team of 8 researchers from the Sokoine University of Agriculture visited the Rukwa region to visit big maize farmers in the Rukwa Region. The trip was part of the Integrated IoT, AI, and Swahili Chatbot: Agri-Tech Solution project. The key objective of this trip was to learn how maize is produced from the commercial end point by large-scale farmers having learned it from small-scale / smallholder farmers in Morogoro region.
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