Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...

Abstract: Due to the inherent $\pi $ -phase constraint in phase unwrapping algorithms, the dynamic strain range of phase-sensitive optical time domain reflectometry ($\Phi $ -OTDR) is significantly ...

High-Altitude-Long-Endurance (HALE) Unmanned Aerial Vehicles (UAV) operating at low Reynolds numbers face significant challenges from atmospheric gusts, which can intensify flow separation and induce ...

Tickets for the 2026 FIFA World Cup went on presale on Wednesday morning, with the U.S. set to host the global soccer tournament for the first time since 1994. While fans may think they should scoop ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this paper, we show how kernel-based models for the Koopman generator─the gEDMD ...

Public health data analysis is critical to understanding disease trends. Existing analysis methods struggle with the complexity of public health data, which includes both location and time factors.

This project implements a Dynamic Programming (DP) solution for optimal inventory control, inspired by fundamental principles in Dimitri Bertsekas's work on "Lessons from AlphaZero for Optimal, Model ...

Abstract: This article presents a composite nonlinear feedback (CNF) control method using self-triggered (ST) adaptive dynamic programming (ADP) algorithm in a human-machine shared steering framework.

School of Food Science and Technology, National Engineering Research Center of Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Wuxi 214122, Jiangsu, China Jiangnan University ...

This program implements a solution to the Knapsack problem using dynamic programming techniques.