Artificial neural networks have been applied to problems ... we can make the network 'learn' to solve many types of problems. A model neuron is referred to as a threshold unit and its function ...

Neurons in a neural network are grouped into layers, which can be broadly classified into the following three types: Input Layer: This layer consists of input nodes that receive the raw data.

Concepts encoded by concept neurons can be an animal, an article of clothing, a place, or a person. The concept can be evoked ...

Researchers from the Skoltech AI Center, together with colleagues from the Institute for Information Transmission Problems of ...

A new platform uses machine learning to identify and map social interactions, unlocking new ways to study behavioral ...

A research team from the Skoltech AI Center and Samara University have developed a system for automatically separating the ...

Researchers combine acoustic monitoring with a neural network to identify fish activity on coral reefs by sound. They trained the network to sort through the deluge of acoustic data automatically, ...

A neural network is a machine-learning algorithm inspired by the human brain. It processes complex data by passing information through layers of interconnected nodes (neurons). Each neuron adjusts ...

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