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Penn engineers use AI to solve some of science's most difficult math problems

A ripple tells you something happened, but not exactly what. That is the core problem behind a hard class of equations that ...
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Math skills that supercharge your AI journey

Behind every powerful AI model lies a world of mathematics—linear algebra, calculus, probability, and more—that makes it all work. Understanding these concepts bridges the gap between theory and ...
SciELO

BRANCH-AND-CUT METHOD FOR SOLVING THE INTEGER LINEAR MULTIPLICATIVE BILEVEL PROBLEM

We study a class of integer bilevel problems, the so-called Integer Linear Multiplicative Bilevel Problem, ILMBP, where the constraints are linear and both the upper level problem and the lower level ...
IEEE

Semi-Recursive Convolution Schemes for Macromodeling of Time-Invariant Linear Circuits

Abstract: Time-domain macromodeling is a powerful technique for generating compact models of linear time-invariant (LTI) circuits. A common approach involves computing the port impulse response at the ...
IEEE

Automatic Modulation Recognition Method Based on Channel-Enhanced Convolution and Linear-Angular Attention

Abstract: Automatic Modulation Recognition (AMR) is an electronic signal processing technology designed to automatically identify and classify the modulation type of radio signals. Existing AMR ...