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Intel and Nvidia: The Chip Partnership That Could Rewrite the PC Playbook
Hybrid chips from these two heavy hitters portend a new kind of processor—and, maybe, new classes of PCs entirely. What does ...
Abstract: Discrete-time Control Barrier Functions (DTCBFs) form a powerful control theoretic tool to guarantee safety and synthesize safe controllers for discrete-time dynamical systems. In this paper ...
Abstract: Learning Model Predictive Control (LMPC) is a data-driven approach to MPC that enhances closed-loop performance by leveraging data from successive task iterations to approximate the solution ...
The MPC-CBF optimization problem is given by: $$\begin{aligned} \min_{u_{t: t+N-1 \mid t}} \quad & \frac{1}{2} \tilde{x}_N^T Q_x \tilde{x}_N+\sum_{k=0}^{N-1} \frac{1 ...
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine ...
When you have played the game, why not put your new skills to the test and download this fun activity sheet?
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