A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Deep learning — which uses multilayered neural networks to elicit patterns from data — was getting really hot back then. There was already a lot of excitement about applications in image ...

A novel universal deep learning model for segmentation of automated optical inspection images for both PCBA and semiconductor components.

This approach can improve the performance of the model without using data enhancement. Methods: In this study, we have developed a new Multi-layer Perceptron (MLP) block and have used a Weight Capsule ...

Explore the five major platforms for developing machine learning models, their features, and how they support AI advancements.

As such, echocardiography is conducted for patients suspected of having severe symptomatic AS rather than for asymptomatic patients. 9 To develop a reliable screening method based on ECG, we used a ...

For this reason, we present in this paper an introductory review of deep learning approaches including Deep Feedforward Neural Networks (D-FFNN), Convolutional Neural Networks (CNNs), Deep Belief ...