Nature

Cross-layer transmission realized by light-emitting memristor for constructing ultra-deep neural network with transfer learning ability

Deep neural networks (DNNs) possess the capability to represent more complex nonlinear problems than shallow neural networks, and their distributed data learning method is more effective 1,2,3. The ...
The Conversation

What is a neural network? A computer scientist explains

Neural networks try to simulate the brain by processing data through layers of artificial neurons. MF3d / E+ via Getty Images There are many applications of neural networks. One common example is your ...
Nature

Real-time 4K computer-generated hologram based on encoding conventional neural network with learned layered phase

Learning-based computer-generated hologram (CGH) demonstrates great potential for real-time high-quality holographic displays. However, real-time 4K CGH generation for 3D scenes remains a challenge ...

In 1986, three scientists improved backpropagation, making neural networks learn effectively from data

A groundbreaking 1986 technique called backpropagation revolutionized artificial intelligence, enabling computers to learn ...
Forbes

Understanding The Blockchain Layered Architecture To Solve The Scalability Challenges

In case you have engaged yourself in research relating to cryptocurrencies or blockchain, you would have definitely come across terms like layer one and layer two protocols. However, it is possible ...