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New AI system helps scientists understand complex systems that change over time
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 ...
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 ...
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 ...
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: ...
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, ...
A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.
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.
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