Neural networks are built upon several key components that work together to process data and make predictions: A neural network's basic computational units (also called nodes). Each neuron receives ...

A new Nature Physics study has shed light on the long-hypothesized liquid-liquid critical point where water simultaneously ...

The ancient Greek philosopher and polymath Aristotle once concluded that the human heart is tri-chambered and that it was the single most important organ in the entire body, governing motion, ...

Developed by researchers from Waseda University, the AI-driven robot addresses Japan’s caregiver shortage in the wake of an ...

Oral potentially malignant disorders (OPMDs), characterized by a wide variety of types and diverse clinical manifestations, ...

In this study, we demonstrate that a neural network can learn to perform phase recovery and holographic image reconstruction after appropriate training. This deep learning-based approach provides ...

In a recent study published in Engineering, researchers Jialin Jiang, Lidong Yang, Shihao Yang, and Li Zhang have developed a ...

The shift from slow, manual simulation to fast, automated optimisation using deep learning is unlocking better designs.

The integration of neuromorphic computing and deep learning is revolutionizing computational neuroscience, offering new methods for interpreting complex ...

The following is a summary of “Computer-aided diagnosis based on 3D deep convolutional neural network system using novel 3D ...

Researchers have developed a geometric deep learning approach to uncover shared brain activity patterns across individuals.