Math is the building block for upcoming future technology
Professor Daniel in Gothenburg has gone from studying the universe's fundamental laws to leading research in AI and machine learning. he talks about his work - and the mathematics behind AI. professor is good in both maths and physics He realized early in life about mathematics and engaged in solving mathematical problems in accept of gravity.
Professor Daniel says while working in the division of algebra and geometry, his work on mathematical structures in physics fueled his interest in AI.
How math is making AI more effective
Nowadays AI development is on the top. To answer the question about how AI works can be found by doing basic research on mathematics This understanding will provide us the solution to MAKE AI more effective.to train an AI model to recognize a cup is done by training on thousands of images but if we change something then it fails in the case of humans this is not the problem humans recognize cups in any way.
professor says he can make ai to understand by using the maths formula of symmetry. Hence this will reduce expense and make AI more effective. then this technology can be used in self-driving and the medical field This type of learning is called geometric machine learning,w hich can be done using mathematical group theory to make an AI model that will find symmetry
hence later ai can be used to develop more maths. maths and ai are husband and wife.
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- The ex
https://www.gu.se/en/news/the-math-of-future-ai
