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 ...

SEOUL, South Korea and SANTA CLARA, Calif., Sept. 11, 2025 /PRNewswire/ -- Moreh, an AI infrastructure software company, unveiled its distributed inference system on AMD and showcased the progress of ...

The vehicle trajectories. a The Awesome GINS Dataset which was collected in an open-sky industrial area in Wuhan. b The second dataset which was collected in a suburban area in the Optics Valley of ...

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 ...

Researchers have used the jellyfish search algorithm to optimize solar PV distributed generation placement and sizing. They have tested the algorithm on an IEEE 33-bus system, with one, two, or three ...

At the Honeywell Users Group 2025 conference, Control’s Keith Larson talked with ExxonMobil’s David Patin and Brian Reynolds and Alicia Kempf of Honeywell Process Solutions for this episode of Control ...