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Abstract: This paper studies using Asynchronous Traffic Shaping (ATS), which is defined by IEEE 802.1TSN (Time-Sensitive Networking), to transmit time-sensitive traffic over Ethernet-based industrial ...
This course offers an introduction to mathematical nonlinear optimization with applications in data science. The theoretical foundation and the fundamental algorithms for nonlinear optimization are ...
As expectations for refractive cataract surgery continue to rise, preoperative ocular surface optimization remains essential ...
National security, unlocked. Each Thursday, host Mary Louise Kelly and a team of NPR correspondents discuss the biggest national security news of the week. With decades of reporting from battlefields ...
Chinese AI company MiniMax has released the weights for MiniMax M2.7, a 229-billion-parameter Mixture-of-Experts model that participated in its own development cycle – marking what the company calls ...
Abstract: Design Space Exploration (DSE) in processors is an expensive discrete simulation optimization problem. The data requirements of the regular data-driven methods are so large that it is ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
ABSTRACT: The nearly analytic discretization of the frequency-domain wave equation produces large-scale, sparse, and ill-conditioned linear system, which challenge conventional iterative solvers. To ...
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