Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

In recent years, distributed multi-agent systems (MAS) have gained significant attention across robotics, autonomous vehicles ...

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Defense ETFs are becoming increasingly fascinating plays in the market, and it’s not just global tensions driving the rally. There’s a new catalyst in town: algorithms. With the U.S. and U.K. recently ...

Abstract: This article focuses on the distributed optimization problem of heterogeneous nonlinear multiagent systems with coupling constraints. By decoupling the design, the problem is transformed ...

The recent emergence of DeepSeek’s remarkably cost-efficient large language models has sent shockwaves through the AI industry, not just for what it achieved, but for how efficiently it achieved it.

Large language models (LLM) have become a critical component in many applications of machine learning. However, standard approaches to training LLM require a large number of tightly interconnected ...

As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...