It now appears that neural nets may be the next frontier in the advance of computing technology as a whole. But what are ...

NT: Explain what neural networks are. Explain the original insight ... You would have thought, and most people in conventional AI thought, take a system with a billion parameters, start them ...

[carykh] has a really interesting video series which can give a beginner or a pro a great insight into how neural networks operate and at the same time how evolution works. You may remember his ...

A Convolutional Neural Network (CNN) represents a sophisticated ... visual recognition tasks that traditionally challenged conventional computing systems. The architecture of a CNN comprises ...

"In conventional neural networks, the output signals change gradually," says Memmesheimer, who is also a member of the Life and Health Transdisciplinary Research Area. "For example, the output ...

It's a hybrid system that uses the vast data bank of conventional computers, paired with a neural network. "These models... can learn from examples like neural networks, but they can also store ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs ... They showed that conventional reservoir computing (RC), a type of RNN, can ...

Numenta, the Silicon Valley artificial intelligence firm founded by Palm Pilot creator Jeff Hawkins, has been able to achieve a dramatic speed up in conventional neural networks using Xilinx ...

It can model complex non-linear relationships and, unlike conventional neural networks (which include a single layer between input and output) deep neural networks include many hidden layers.