Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI.

Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

This year, Shiyuan Co., Ltd. has newly obtained 290 patent authorizations, a decrease of 40.57% compared to the same period last year. According to the company's mid-2025 financial data, in the first ...

Neural networks, from GPT-4 to Stable Diffusion, are built by wiring together perceptrons, which are highly simplified simulations of the neurons in our brains.

Security researchers have devised a technique to alter deep neural network outputs at the inference stage by changing model ...

AI models like artificial neural networks and language models help scientists solve a variety of problems, from predicting the 3D structure of proteins to designing novel antibiotics from scratch.

Their findings suggest HVC is organised into highly structured neural modules that contain both projection neurons and inhibitory interneurons, working together in tightly connected networks.

Although not the first video game ever produced, Pong was the first to achieve commercial success and has had a tremendous influence on our culture as a whole. In Pong’s time, its popularity ...