DAR ES SALAAM: ARTIFICIAL Intelligence (AI) has once again captured the world’s attention. In recent months, advanced AI systems have demonstrated an impressive ability to solve difficult mathematical problems, generate computer code, assist scientists in proving mathematical theorems and even perform exceptionally well in mathematics competitions. These achievements have sparked an intriguing debate: Has AI reached a point where humanity no longer needs mathematics?
For many people, the answer may appear to be “yes.” After all, if an AI system can solve equations within seconds that would take a student or even a mathematician hour, what role is left for mathematics? The reality, however, is very different. Rather than marking the end of mathematics, AI is proving that mathematics has become more important than ever before.
A machine that solves mathematics Only a few years ago, AI was mainly known for recognising faces, translating languages and answering simple questions. Today, AI systems can reason through complex mathematical problems, assist researchers with advanced proofs and support engineers in designing sophisticated technologies. These advances represent a significant leap forward in artificial intelligence.
Yet there is an important fact that is often overlooked. It is applying mathematics at extraordinary speed and scale. Behind every intelligent answer lies an enormous mathematical engine built on algebra, calculus, probability, statistics, geometry, optimisation and many other branches of mathematics.
Without these foundations, AI would simply not exist. The invisible mathematics around us Most Tanzanians interact with mathematics every day without noticing it. When a mobile money transaction is completed within seconds, mathematical algorithms verify its accuracy and help detect suspicious activity.
When Google Maps recommends the fastest route, mathematical models calculate the shortest path while considering traffic conditions. When weather forecasts predict rainfall, AI combines millions of mathematical calculations to estimate future weather patterns. Banks use mathematical models to evaluate financial risks.
Summary from source