One of the most agonizing experiences a cancer patient suffers is waiting without knowing: waiting for a diagnosis, waiting ...

Researchers at FORTH have developed a new type of artificial neural network (ANN) that incorporates features of biological ...

Deep learning models go above and beyond traditional machine learning and can process data and recognize patterns much more efficiently.

An artificial neural network is a deep learning model made up of neurons that mimic the human brain. Techopedia explains the full meaning here.

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

Neural networks have revolutionized the fields of artificial intelligence (AI) and machine learning by providing a flexible, ...

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 ...

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

Abstract: Deep learning techniques have achieved significant success in Synthetic Aperture Radar (SAR) target recognition using ... speckle noise inherent in SAR images, we employ a denoising module ...

In the last decade, deep learning models start getting more attention, especially within the image processing community. In this study, we propose a novel algorithmic trading model CNN-TA using a 2-D ...

Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...