Disrupting left superior frontal sulcus selectively impaired perceptual but not value-based decisions, revealing segregated ...

Intrinsic neural attractors and extrinsic environmental inputs jointly steer the dynamic trajectories of brain activity ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...

The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.

In this video, we will see What is Activation Function in Neural network, types of Activation function in Neural Network, why to use an Activation Function and which Activation function to use. The ...

Looking back at 2025, it’s obviously, on a daily basis, why the broadcast networks are dismissed by most Americans as a source of daily advertising for one side of the political debate. This tilt has ...

The Paul Scherrer Institute (PSI) and North Carolina State University are developing a high-resolution multi-physics core solver for pressurized water reactor (PWR) analysis in Cartesian geometry, ...

Abstract: Research project conflict risk detection aims to distinguish potential conflicts from multiple aspects including personnel allocation, resource distribution, and content overlap, etc.

A comprehensive implementation of a Variational Autoencoder (VAE) for unsupervised data generation with uncertainty quantification, featuring comparative analysis against deterministic baselines. This ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...