A new training technique could increase the number of physical systems that could serve as AI platforms. Read More »
A new frequency-based analysis of recordings from neurons in the brain may give insight into brain pathologies such as Parkinson’s disease. Read More »
The 2024 Nobel Prize in Physics honors pioneering work on artificial neural networks, which provided the foundation for many of the artificial intelligence technologies in use today. Read More »
By observing the motion of preschool children, researchers have developed a thermodynamic description of human movement that pinpoints collective phases emerging when social interactions are strong. Read More »
Researchers leverage synapse-level maps of the fruit fly brain to examine how neuronal connection probabilities vary with distance, offering insights into how these neuronal networks may optimize function within spatial constraints. Read More »
A mathematical model suggests that social groups can behave in unexpected ways when subjected to competing mass media. Read More »
A new mathematical measure of knottiness could help improve the transport efficiencies of subway and road systems, as well as other physical networks. Read More »
A machine-learning framework predicts when a complex system, such as an ecosystem or a power grid, will undergo a critical transition. Read More »
A simple model based on network theory can reproduce the complex structures seen in urban transportation networks. Read More »
Statistical properties of fluctuations of certain parameters describing a complex system can reveal when that system is approaching a tipping point. Read More »
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