The latest thesis, advanced by Hava Siegelmann at the Technion Institute of Technology,in Haifa Israel,claims that some computational problems can only be solved by analog neural networks. Since neural networks are essentially analog computers, the work suggests, on a theoretical level, that analog operations are inherently more powerful than digital.

Based on her work, Siegelmann believes that neural networks represent a “super-Turing” computer more comprehensive than even a hypothetical digital computer with unlimited resources. Long-term, Siegelmann said she hopes her model will open up completely new ways of thinking about computing.

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