Computer Sciences

Training models with a structured data curriculum

New analysis in The European Physical Journal E (EPJ E) shows how a 'curriculum learning' approach, which carefully structures the data used to train models of complex systems, can significantly improve their results, without ...

Computer Sciences

Digital twins offer researchers access to new knowledge

A team of researchers at the Norwegian science institute SINTEF has developed data simulation systems that make it easier to understand exactly what enormous volumes of data are telling us. Their aim has been to convert the ...

Engineering

Honeybee behavior informs efficiency of wind farms

An algorithm based on the altruistic behavior of honeybees could help those designing wind farms know exactly where to plant each turbine in the array to maximize efficiency and energy output from the wind farm. A team from ...

Machine learning & AI

Using AI to expand the quality and fairness of urban data

The sparse and inconsistent availability of urban data is currently hampering efforts to manage our cities fairly and effectively—but this could be solved by exploiting the latest advances in artificial intelligence.

Computer Sciences

Algorithms inspired by nature sustain wireless sensor networks

Wireless sensor networks have many applications in environmental monitoring, safety and control monitoring of industrial processes, in healthcare, and in disaster management. To be effective the devices, the sensors, must ...

Engineering

Fast mitigation of power grid instability risks

Skoltech scientists in collaboration with researchers from the University of Arizona and the Los Alamos National Laboratory have developed an approach that allows power grids to return to stability fast after demand response ...

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Complex systems

Complex systems is a scientific field which studies the common properties of systems that are considered fundamentally complex. Such systems may exist in nature, society, science and many other fields. It is also called complex systems theory, complexity science, study of complex systems, sciences of complexity, non-equilibrium physics, and historical physics. The key problems of such systems are difficulties with their formal modeling and simulation. From such perspective, in different research contexts complex systems are defined on the base of their different attributes. Since all complex systems have many interconnected components, the science of networks and network theory are always important aspects of the study of complex systems. At present, the consensus related to one universal definition of complex system does not exist yet.

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