Abstract: This paper presents event-triggered integral re-inforcement learning methods to solve nonlinear nonzero-sum differential game problems. Firstly, for nonlinear systems, by constructing ...
Tech Xplore on MSN
Optical system uses diffractive processors to achieve large-scale nonlinear computation
Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs ...
UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...
Nonlinear optical (NLO) materials play a vital role in modern photonic technology, driving advancements in applications such ...
Tech Xplore on MSN
RRAM-based analog computing system rapidly solves matrix equations with high precision
Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...
Deep Learning with Yacine on MSN
Muon Optimizer for Dense Linear Layers – Newton-Schulz Method with Momentum Explained
Dive deep into the Muon Optimizer and learn how it enhances dense linear layers using the Newton-Schulz method combined with ...
Through a Summer Undergraduate Research Fellowship, Jenny Quan is exploring the mathematical principles behind Rubik's cubes.
Abstract: Modeling and controlling aircraft can be particularly challenging when the system is highly nonlinear or only partially understood. While data-driven approaches can be promising in this ...
A study suggests that the first of seven key pyramids in Egypt, the Step Pyramid of Djoser, was built using a hydraulic lift. Dated to about 4,500 years ago, this would move up the introduction of ...
Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. David Kindness is a Certified Public ...
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