Neural AI (often referred to as neural network technology) applies pattern recognition on large datasets based on the complex ...

Researchers at FORTH have developed a new type of artificial neural network (ANN) that incorporates features of biological ...

The neural network artificial intelligence models used in applications like medical image processing and speech recognition ...

Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.

Hence, researchers often simulate the brain as a network of coupled neural masses, each described by a mean-field model. These models capture the essential features of neuronal populations while ...

By crafting an artificial brain-like environment with microscopic nanopillars, researchers have successfully guided neurons ...

Oh someone's in DeepShi... China-based AI biz DeepSeek may have developed competitive, cost-efficient generative models, but ...

The Python project 'DNNGP' can be used to implement genome-wide prediction (GP), which can predict the phenotypes of plants and animals based on multi-omics data. The code is written using Python 3.9 ...

Institute of Intelligent Machine, Hefei Institutes of Physical Science, Chinese Academy of Sciences, HeFei City, AnHui Province 230031, P. R. China University of Science and Technology of China, HeFei ...

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 ...

These hairs convert vibrations from sound waves into neural signals that your auditory nerve carries to your brain. Exposure to sounds louder than 85 decibels can damage these hairs. Eighty-five ...

Then, we generalize this algorithm to a compact implicit neural network that has only 0.003M parameters. The network is shown to be more effective and efficient. Thanks to the small number of ...