Duke University engineers are using artificial intelligence to do something scientists have chased for centuries; turn messy, ...

In a new study, scientists have investigated the pervasive low-rank hypothesis in complex systems, demonstrating that despite high-dimensional nonlinear dynamics, many real networks exhibit rapidly ...

This Collection supports and amplifies research related to SDG 8: Decent Work and Economic Growth, SDG 10: Reduced Inequalities, and SDG 13: Climate Action. The Evolving Landscape of Complex Systems ...

Analysing human societies as complex systems can provide an insight into historical processes and the strengths and weaknesses of capitalism. Analysing human societies as complex systems can provide ...

A team led by Academician GUO Guangcan from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS), with collaborative efforts from the University of ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

This article is part of a larger project by The Michigan Daily to examine University of Michigan research trends by analyzing academic paper citations. The Michigan Daily spoke with Mark Newman, ...

This research introduces a novel approach to uncovering structural variables in complex systems, reshaping how we model the unpredictable behaviour of the real world Connected puzzle pieces (Courtesy: ...

Microsoft’s data lakes meet the industrial internet of things, helping you create complex models with data from multiple sources. Digital twins are an important part of modern control systems. They ...

In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.

Today’s electronic systems are an increasingly complex combination of hardware and software components. They contain an ever-expanding range of functions, require more computing power, have to operate ...