In this study, we demonstrate that a neural network can learn to perform phase recovery and holographic image reconstruction after appropriate training. This deep learning-based approach provides ...

Deep learning works by using multilayered neural networks. To make sense of the data they are fed, such as photos, neural ...

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

Jonathan EnudemeJonathan Enudeme Imagine finding yourself lost in a foreign land where no one speaks English or your native language. The streets are unfamiliar, and every turn leads you deeper into ...

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 integration of XAI methods not only improves transparency but also fosters trust among farmers and agricultural experts.

nobeastsofierce / Shutterstock A new study from Oxford University has uncovered why the deep neural networks (DNNs) that power modern artificial intelligence are so effective at learning from data.

Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result ...

Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: ...

The explosive development of machine learning (ML) and artificial intelligence (AI) is changing industries worldwide. One of the driving forces of the change is ...

Now a ubiquitous part of modern society, AI refers to any machine that is able to replicate human cognitive skills, such as problem solving. Over the second half of the 20th century, machine learning ...