By applying algorithms that mimic the processes of real neurons, we can make the network 'learn' to solve many types ... Neural networks have been applied to many interesting problems in different ...

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

Neural networks have become a hot topic over the last decade, put to work on jobs from recognizing image content to generating text and even playing video games. However, these artificial neural ...

WIRED is where tomorrow is realized. It is the essential source of information and ideas that make sense of a world in constant transformation. The WIRED conversation illuminates how technology is ...

In addition, we highlight the conceptual importance of spiking-activity propagation in neural networks and provide specific suggestions to experimentally study the different modes of spiking ...

Inspired by the human brain, artificial neural networks (ANNs) are a type of machine learning model containing multiple layers of interconnected ... While the model isn’t generalizable across ...

Two new neural network designs promise to make AI models more adaptable and efficient, potentially changing how artificial ...

A model developed by the University of Cordoba uses neural networks to optimize the decoding of markers used by machines to ...

RNNs are a type of artificial neural network used in machine learning ... "RNNs can be trained to solve the same task as the rats using different mechanisms. We characterized the variations ...