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

Deep learning is a type of machine learning that learns by looking at lots of examples. In a way, deep learning is how we humans learn new things. For instance, you might teach a toddler to ...

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