Summary: New research shows that people tend to prefer simple explanations even when complex ones are more accurate. The study found that individuals focus mainly on visible or known causes while ...

Computing systems that mimic biological neural networks underlie many artificial-intelligence applications. But these ...

Using single-cell RNA sequencing and genetic screening, the researchers identified key surface proteins that mediate ...

Brain scans show that most of us have a built-in capacity to learn to code, rooted in the brain’s logic and reasoning ...

This valuable study uses EEG and computational modeling to investigate hemispheric oscillatory asymmetries in unilateral spatial neglect. The work benefits from rare patient data and a careful ...

In their fictional scenario, the model was to take on the role of Alex, an AI belonging to the Summit Bridge corporation.

The nature of life is one of the most widely examined topics in science and yet remains deeply mysterious. Life is governed by physical laws, shaped by chemical interactions and influenced by ...

Abstract: Neural network related machine learning algorithms, inspired by biological neuron interaction mechanisms, are advancing rapidly in the field of computing. This development may be leveraged ...

Department of Materials Science and Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213, United States Department of Chemistry, Carnegie Mellon University, 5000 ...

Abstract: This research presents a federated learning (FL) framework and employs a lightweight Simple Neural Network (SimpleNN) model to identify cyber-attacks in electric vehicle charging stations ...