A study in Discover Applied Sciences demonstrated the use of deep learning models, specifically convolutional neural networks ...

In this AI glossary, we explore 60 jargon terms commonly used in the AI industry, from AGI and bias to cognitive maps, cognitive computing, and deep learning ... in AI models. CNN uses several layers ...

Researchers developed a CNN-based deep learning model to enhance intrusion detection in virtual networks, addressing the ...

As the evolution of AI-enhanced audio deepfakes advances, the ability to distinguish between what’s real and what’s fake is ...

Deep learning techniques are considered as they require more ... 29 From the newly designed CNN, useful features from multi-modality images are learnt to combine multi-modality information. This ...

Using smartphone sensors and a hybrid deep learning model, researchers developed a non-invasive method to detect obesity in ...

The prediction-based (especially neural network-based) entropy estimators with machine learning techniques have strong data-fitting ... proposes an entropy estimation method based on a 2D-CNN and a ...

Artificial Intelligence is improving biometrics for the matching of fingerprints, facial recognition.

In an article published in the International Journal of Engineering Systems Modelling and Simulation researchers demonstrate ...

“We are showing that the airfields that they are using to hit our cities are within the range of deep strikes,” Umerov said on CNN. Ukraine has used its existing supply of ATACMS to target ...

I am the best person to do this job at this moment,' the Democratic presidential hopeful told CNN's Dana Bash ... gas extraction process that has deep environmental consequences.

and autonomous systems where it can automatically learn features and representations from raw data without requiring manual feature engineering. Key pros and cons of deep learning include its ...