The Key to Understanding AI May be Buried in the Laws of Physics

Nature’s Simple Complexity Deep learning can be understood as modeling high-level abstractions using data and a set of algorithms, with a deep graph and multiple processing layers of linear and non-linear equations. While it is largely a mathematical tool, the things that deep neural networks can do have surprised mathematicians. How can networks arranged in layers be quick to perform human tasks like face and object recognition if it has to go through layers of computations? This has perplexed mathematicians for sometime. However, what mathematics cannot makes sense of, physics explains simply. According to Henry Lin of Harvard University and Max Tegmark at MIT, the answer lies in understanding the nature of the universe, for which physics is the best tool. Mathematically, object recognition goes through multiple possibilities. As explained…


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