Our eyes can frequently play tricks on us, but scientists have discovered that some artificial intelligence can fall for the ...

It's obvious to most people as soon as they set foot in a place they know well—like their childhood bedroom or a former ...

Artificial intelligence systems that look nothing alike on the surface are starting to behave as if they share a common ...

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

A research team from the Institute of Modern Physics of the Chinese Academy of Sciences and Lanzhou University has obtained ...

Abstract: Deep learning has revolutionized data processing by recognizing complicated patterns using multi-layered neural networks. Encoding complex data like hyperspectral photos may help deep ...

Veronika Koren talks about pursuing a theory of neural coding that doesn’t fit a simple narrative, and the resilience it took to see it through.