Explainable AI (XAI) is a growing field that aims to shed light on how deep neural networks (DNNs) make decisions in a way that…
Browsing: Neurons
A team of scientists from Harvard University and Google have used machine learning algorithms to reconstruct a wiring diagram of a small section of…
This FAQ provides an overview of artificial neural networks (ANNs), including their components, layers, and top architectures. ANNs are comprised of neurons with four…
Liquid neural networks (LNNs) are time-continuous recurrent neural networks with a dynamic architecture of neurons that are able to process time-series data while making…
A neural network is a set of algorithms that mimics the functioning of the human brain to recognize patterns in data. It is a…
Deep Learning is a branch of machine learning which is based on artificial neural networks, and is used to learn from large amounts of…
Dropout regularization is a machine learning technique that is used to combat overfitting. It works by randomly removing neurons from the model, allowing it…
Researchers in the United States are developing a roadmap to make “organoid intelligence” a reality. Organoid intelligence is a new field of study which…