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PSI Reports Machine-Checked Proof of Aaronson-Ambainis Conjecture

Physical Superintelligence announced on November 6, 2026 that an internal research system running instances of a non-public Anthropic model had found a proof of the Aaronson-Ambainis conjecture, a quantum-computing problem open since 2008. The system produced a complete proof during the third day of a run on PSI’s own infrastructure…

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AI has transformed maths — this is how we got here

Anil Ananthaswamy is the author of Why Machines Learn (2024). Artificial-intelligence tools have found solutions to several mathematics and physics problems that had been unresolved for years. Credit: Barbara Sax/AFP/Getty Big Math: The Hidden Codes That Run Our World Steven Strogatz & Alex Townsend Little, Brown and Company (2026) When…

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Computational Mathematics

While improvements in computer hardware and high performance computing frameworks continue to provide computational speed increases, efficient mathematical algorithms and skillful coding are essential for solving today's…

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More in New Math Research

Time and Space Complexity

We are no calculating with a stopwatch. We're looking at how many operations did the CPU have to perform. Say for example: We are running a function which takes a value 'N' and runs a loop 'N' times: Here, the loop is running N times which means Time Complexity is…

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