EPFL researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other ...

If you read this site, chances are pretty good that you've probably played around with a neural image upscaler at some point. These programs, like the popular "waifu2x", use a pre-trained neural ...

In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have revolutionized data processing, offering unparalleled accuracy across various ...

Researchers at the National University of Singapore (NUS) have fabricated ultra-thin memtransistor arrays from ...

“Over the past decade, deep-learning-based representations have demonstrated remarkable performance in academia and industry. The learning capability of convolutional neural networks (CNNs) originates ...

The authors demonstrated in simulations that their approach can be used to perform image classification tasks with the same accuracy as digital neural networks. In the future, the authors are planning ...

Researchers at the University of Pennsylvania have developed a powerful new optical chip that can process almost 2 billion images per second. The device is made up of a neural network that processes ...