We go in-depth with Anduril on their machine learning-infused loitering munition that the USMC just ordered, including how ...
Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn to assess risk and potential gains.
Please note that this lesson was published in December 2024 and we are no longer reviewing emails and messages from schools for inclusion in the lesson or on the page. In this Live Lesson, students ...
Three short animations exploring The Gunpowder Plot in 1605 - why it happened, the main events and the outcome for Guy Fawkes and the other plotters. Three short animations exploring The Great Fire of ...
Abstract: Stochastic processes (SPs) are widely used in many real-world fields, especially AI algorithms and models. A discrete-time Markov chain (DTMC) is a fundamental SP where the probability of ...
Abstract: In this paper, a model predictive control (MPC) framework is proposed for finite-time stabilization of linear and nonlinear discrete-time systems subject to state and control constraints.
1 Economic and Technical Research Institute of State Grid Shaanxi Electric Power Company, Xi’an, China 2 Shaanxi Local Electric Power (Group) Co., Ltd., Xi’an, China Accurate prediction of goaf ...
A PyTorch implementation of the DeFoG model for training and sampling discrete graph flows. (Please update to the latest commit. Recent fixes have been applied.) Working with directed graphs? Consider ...
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