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 ...

A new study by physicists and neuroscientists describes how connectivity among neurons comes about through general principles of networking and self-organization, rather than the biological features ...

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 ...

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 ...

This has shifted the focus to long-term system design, integration and adaptability.​ McKinsey’s 2023 AI report states that ...

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, ...

One of the biggest questions in the global movement of business as a force for good is how the different disciplines of CSR, ESG, sustainability, cause marketing, and diversity and inclusion all fit ...

Relying on one giant AI model for everything is a trap; it’s too expensive and slow for simple tasks and too risky for the hard stuff when things go wrong. Whenever I see a new agent project kick off, ...