Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...

Kernel methods represent a cornerstone in modern machine learning, enabling algorithms to efficiently derive non-linear patterns by implicitly mapping data into high‐dimensional feature spaces. At the ...

We were unable to process your request. Please try again later. If you continue to have this issue please contact [email protected]. The AI-based algorithm analyzed movements during REM ...

Peach (Prunus persica) is an economically important fruit, and understanding the genetic basis of its quality traits is crucial for breeding. Recent advances in genome sequencing have led to the ...

A conversation with INSEAD’s Gianpiero Petriglieri on a key skill of modern leadership. In an age of rapidly changing technology, it’s more important than ever for organizations to effectively support ...

Daniel D. Pratt presents five perspectives on teaching gathered from several years of research across five different countries. These perspectives are presented in both theoretical and practical forms ...