The CNN Accelerator IP is paired with the Lattice Neural Network Complier Tool. The compiler takes the networks developed in Caffe or TensorFlow, analyzes for resource usage, simulates for performance ...

A Generative Adversarial Network (GAN) is a type of machine learning model that’s used to generate fake data that resembles ...

Recurrent Neural Networks (RNN): A special type of neural network, RNN is a complex network that uses the output of a node ...

The AI model was able to eventually match the rats’ image processing capabilities, but only after using more and more ...

Our world runs on computer chips. From the chips that run new cars to the chips that help your phones and computers process information to the microchips that help track lost anim ...

Rats perceive the world with a complexity that modern artificial neural networks struggle to match. This is the finding of a recent study published in the journal Patterns by the Visual Neuroscience ...

Researchers have designed a CNN model that analyzes vibration data for precise detection of beam damage, highlighting advancements in structural health monitoring.

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 ...

(NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, have developed a quantum algorithm technology for deep convolutional neural network (CNN) exchange submissions, aimed at ...