Book Abstract: Understand the fundamentals of the emerging field of fuzzy neural networks, their applications and the most used paradigms with this carefully organized state-of-the-art textbook.

An artificial neural network is a deep learning model made up of neurons that mimic the human brain. Techopedia explains the full meaning here.

Abstract: Constant growth in crime rates instigates computational resources for examination at a robust rate. Whatever data being examined with the help of forensic tools needs to be stored in the ...

Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result ...

Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: ...

Artificial neural networks are inspired by the early models of sensory processing by the brain. An artificial neural network can be created by simulating a network of model neurons in a computer.

This innovative optical system encodes data as holograms, utilizing neural networks for decryption, paving the way for ...

Learn More A new neural-network architecture developed by researchers ... there is growing potential for creating applications where you squeeze new knowledge into your prompt instead of using ...

The Artificial Neural Network market was USD 248M in 2023 and is expected to reach USD 1256M by 2032, growing at a 19.79% CAGR from 2024 to 2032.

When designing a robot, such as Boston Dynamics' anthropomorphic robot Atlas, which appears exercising and sorting boxes, ...

But what if, instead of collecting all possible data from a sensor, we could be more selective, collecting just enough data to accurately identify whatever we’re looking for? Th ...