A book of lectures that introduces core ideas and applications of using AI to discover patterns, prove theorems, and challenge conjectures in mathematics.
Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems
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Lectures on AI for Mathematics
A book of lectures that introduces core ideas and applications of using AI to discover patterns, prove theorems, and challenge conjectures in mathematics.