Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling ...

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...

The Kennedy College of Sciences, Miner School of Computer & Information Sciences, invites you to attend a doctoral thesis defense by Madhavi Pagare on "Causal Learning-Enabled Hierarchical ...

Mild cognitive impairment (MCI) and dementia pose significant health challenges in aging societies, emphasizing the need for accessible, cost-effective, and noninvasive diagnostic tools.

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

while also learning any remaining neural dynamics. To demonstrate the potential of their nonlinear dynamical modeling framework, the researchers applied it to five distinct neuroscience problems. They ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...