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Mathematics is a guiding force in the progress of Machine Learning and AI. Anil Ananthaswamy reveals more…
The Mathematical Foundations
Artificial Intelligence (AI), particularly machine learning (ML), relies on sophisticated mathematics rather than magic. In a recent interview with Anil Ananthaswamy, author of Why Machines Learn: The Elegant Math Behind Modern AI, the fundamental mathematical principles that power AI were explored. AI’s capability to learn and adapt comes from a blend of complex algorithms and large datasets. Unlike traditional computer programs that execute predefined instructions, AI systems like generative models learn patterns from data and adjust their outputs accordingly. Ananthaswamy emphasises that this learning process involves elegant mathematical tools, including multidimensional calculus and linear algebra, which allow AI to model and generate sophisticated patterns.
Limitations of Data
The limitations of AI are closely tied to the quality of its training data. AI systems can only generate outputs based on patterns they have encountered. If a model is trained with biased or incomplete data, its outputs will be similarly constrained. This restriction means that AI can’t truly innovate beyond its training dataset, which is a significant challenge when it comes to tasks requiring creativity or insight beyond existing patterns. For instance, if an AI model is only exposed to certain demographics, it may fail to recognize or generate data outside those boundaries.
Future Prospects of AI Math
Despite the impressive achievements of AI, such as uncovering hidden patterns in astrophysical data or outperforming humans in games like chess, there are intrinsic limitations. Current AI systems are not likely to surpass human intelligence in all domains, as their capabilities are rooted in their mathematical and data-driven foundations. As research progresses, incorporating advanced mathematical techniques like manifold learning and topological data analysis may enhance AI’s performance, making it more efficient and versatile in solving complex problems.
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*An AI tool was used to add an extra layer to the editing process for this story.
