A major AI architecture. A neural network is employed for many pattern recognition applications; however, its most popular use is the creation of language models used by ChatGPT and other chatbots ...

Nanoparticle neural network (NNN) for a functionally complete 3-input system. The system can be represented with a multi-layer perceptron diagram with three layers (input, hidden and output layers ...

In this post, I will briefly review the deep learning architectures that help computers detect objects. Convolutional neural networks. One of the key components of most deep learning–based ...

Explore the architecture of AlexNet, a groundbreaking deep neural network that revolutionized computer vision. This video walks through its layers and impact on the field of AI.

Shanechi in their paper. "We present dissociative prioritized analysis of dynamics (DPAD), a nonlinear dynamical modeling approach that enables these capabilities with a multisection neural network ...

4. Keep track of your results with different network designs to see which characteristics work better for your problem domain. Try several different types of architectures, including different ...

A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time without ...

More information: Cassandra B. Klune et al, Developmentally distinct architectures in top–down pathways controlling threat avoidance, Nature Neuroscience (2025). DOI: 10.1038/s41593-025-01890-w ...