Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily ...

Studying how brain cells respond to signals from their neighbors can aid the understanding of cognition and development. However, experimentally measuring the brain's activity is complicated. Neuron ...

In a previous article, we explored the Strong Artificial Intelligence Hypothesis, first presenting a low-level description based on the notion of a neural network (bottom-up framework). In this work, ...

The upper figure shows the viscoelastic toy model proposed here, characterized by only six independent parameters. Surprisingly, this simple mechanical model produces complicated system dynamics, as ...

A new study by physicists and neuroscientists from the University of Chicago, Harvard and Yale describes how connectivity among neurons comes about through general principles of networking and ...

Methodological Comparison of Mapping the Expanded Prostate Cancer Index Composite to EuroQoL-5D-3L Using Cross-Sectional and Longitudinal Data: Secondary Analysis of NRG/RTOG 0415 The ability to ...

Tokyo, Japan – Researchers from Tokyo Metropolitan University have used computer simulations to model how a composite material reacts to loading. They studied a particle model of a pillar of stiffer ...

New work explaining the inner workings of artificial intelligence could provide a way around the threat of AI "model collapse ...