Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...

MicroCloud Hologram Inc. announces a noise-resistant Deep Quantum Neural Network architecture, advancing quantum computing and machine learning efficiency.

In recent years, scientists have found that machine learning–based weather models can make weather predictions more quickly ...

By tapping into a decades-old mathematical principle, researchers are hoping that Kolmogorov-Arnold networks will facilitate scientific discovery.

Take real-time visual systems, for instance: they must track objects across frames, manage occlusions, and maintain semantic ...

As the world grapples with climate change and dwindling fossil fuel reserves, biodiesel emerges as a promising renewable ...

On August 26, 2025, Financial界 reported that the National Intellectual Property Administration has information indicating that Shandong Zhengtu Information Technology Co., Ltd. has applied for a ...