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Abstract: This study, conducted in the Differential Equations Analysis course (MA1033) at Tecnologico de Monterrey, applied supervised learning, reinforcement learning, and experiential learning ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

Lance Fortnow on the current status and future outlook of solving the P-NP problem.

A research team has successfully implemented a programmable spinor lattice on a photonic integrated circuit (PIC). This platform enables the realization of non-Abelian physics, in which the outcome of ...

Ingalls Shipbuilding division awarded $95,700 in STEM grants to 22 schools and educational organizations across south ...

Networks of molecules in our body behave as though they have goals and desires. Understanding this phenomenon could solve the ...

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For decades, the solution to harder problems has been ‘build a bigger computer’— but ...

Existing technology is being upcycled and deployed in new ways as companies seek to measure more data, more accurately.

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Abstract: Search algorithms based on quantum walks have emerged as a promising approach to solve computational problems across various domains, including combinatorial optimization, and cryptography.