Nigerian Entrepreneur Builds Electric Mini-Buses in Clean Energy Push

Motorist queue to buy fuel in short supply resulting in traffic gridlock following the discovery of contaminated fuel in supply in filling stations across the country, especially in Lagos, Nigeria’s commercial hub on February 9, 2022. (AFP)
Motorist queue to buy fuel in short supply resulting in traffic gridlock following the discovery of contaminated fuel in supply in filling stations across the country, especially in Lagos, Nigeria’s commercial hub on February 9, 2022. (AFP)
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Nigerian Entrepreneur Builds Electric Mini-Buses in Clean Energy Push

Motorist queue to buy fuel in short supply resulting in traffic gridlock following the discovery of contaminated fuel in supply in filling stations across the country, especially in Lagos, Nigeria’s commercial hub on February 9, 2022. (AFP)
Motorist queue to buy fuel in short supply resulting in traffic gridlock following the discovery of contaminated fuel in supply in filling stations across the country, especially in Lagos, Nigeria’s commercial hub on February 9, 2022. (AFP)

Nigerian entrepreneur Mustapha Gajibo has been converting petrol mini-buses into electric vehicles at his workshop, but he is now going a step further to build solar battery-powered buses from scratch in a push to promote clean energy and curb pollution.

Africa's top producer and exporter of crude oil has heavily-subsidized gasoline and a patchy supply of electricity -- a combination that might discourage anyone from investing in electric vehicles.

But Gajibo, a 30-year-old university drop-out and resident of Maiduguri city in Nigeria's northeast, is undaunted. He says rising global oil prices and pollution make electric vehicles a worthwhile alternative in Nigeria.

At his workshop, he has already stripped combustion engines from 10 mini-buses, powering them with solar batteries. The buses, which have been operating for just over a month, cover a distance of 100 km on a single charge, he said.

His most ambitious project is building the buses from scratch. They will be equipped with solar panels and batteries.

"As I am speaking to you now at our workshop, we are building a 12-seater bus which can cover up to 200 kilometers on one charge," Gajibo said.

"Before the end of this month we are going to unveil that bus, which will be the first of its kind in the whole of Nigeria," he said, adding that his workshop had capacity to produce 15 buses a month.

In Nigeria, like most of Africa, electric vehicles have not yet gained traction because they are more expensive and there is little electricity and no infrastructure to charge vehicles.

For now, Gajibo has one charging station powered by solar.

There are other hurdles like foreign currency shortages that make it difficult to import parts. So, he is looking to source them in Nigeria.

"We have been substituting some materials with local materials to bring our costs down and maximize profit," said Gajibo.



SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.