In a potential breakthrough for Nigeria's decade-long battle against terrorism, UK-based Nigerian, Yunusa Jibrin, says has harnessed the power of Artificial Intelligence (AI) to identify bandits and their hideouts. A computer science Master's graduate from the University of Sussex, Jibrin asserts that his findings, if adopted by the federal government, could reshape the country's strategy in combating insurgency.
Speaking to Vanguard on Sunday,
Jibrin disclosed that he utilized AI-driven image synthesis to create a vast
dataset illustrating bandits in desert environments, complete with weapons and
vehicles. Implementing a Vision Transformer (VT) model, his research reportedly
achieved notable accuracy in early assessments by identifying terrorist
elements within the images.
"I undertook an innovative
approach, leveraging AI-driven image synthesis to generate thousands of visual
representations depicting bandits in desert environments, complete with weapons
and vehicles. Employing this synthesized dataset, I employed a Vision
Transformer model to discern terrorist elements within the images, achieving
remarkable accuracy in preliminary evaluations," he stated.
Jibrin, originally from Gombe
State, emphasized the urgency of adopting technology-backed warfare against
terrorist elements in Nigeria. Leading a team of researchers from the Federal
College of Education (Technical) Potiskum, he expressed his commitment to
collaborating with the federal government in the fight against insecurity, a
challenge hindering the country's development.
"Moving forward, efforts
are underway to formalize these findings, with plans to publish and integrate
the developed algorithms into the operational frameworks of the Nigerian
government," Jibrin added. If successful, his AI-driven approach could
mark a significant step toward restoring peace in the strife-torn region.
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