As the name suggests, neural networks are inspired by the brain. A neural network is designed to mimic how our brains work to recognize complex patterns and improve over time. Neural networks ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

This code was part of a final project submission for the class Psychology 186B - Cognitive Science Laboratory: Neural Networks, which I took at UCLA in the Spring of 2020. The assignment was ...

AI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our brains. They are trained with vast quantities of data on high-performance ...

More information: Christian Klos et al, Smooth Exact Gradient Descent Learning in Spiking Neural Networks, Physical Review Letters (2025). DOI: 10.1103/PhysRevLett.134.027301 . On arXiv : DOI: 10. ...

Learn More 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 ...

Many of today's technologies, from digital assistants like Siri and ChatGPT to medical imaging and self-driving cars, are powered by machine learning. However, the neural networks—computer ...

Neural shaders, as Nvidia calls them, allow developers to execute small neural networks from shader code, running them on the dedicated AI hardware available on Nvidia, AMD, Intel, and Qualcomm GPUs.

Neural shaders, as Nvidia calls them, allow developers to execute small neural networks from shader code, running them on the dedicated AI hardware available on Nvidia, AMD, Intel, and Qualcomm GPUs.

The root cause of this challenge comes from the difficulties in building, extracting, and integrating TDA constructs, such as barcodes or persistent diagrams, within deep neural network architectures.