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

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...

Kaizen rethinks cell segmentation by mimicking brain predictions. Using an iterative machine-learning approach to refine boundaries in crowded microscopy images, it enhances accuracy in tissue studies ...

With the significant advantage of the characterization of essential features by learning a deep nonlinear network, this paper presents a stacked denoising autoencoder algorithm model based on deep ...

The model is trained on monitoring data collected ... In this study, a deep convolutional autoencoder-based unsupervised failure mode recognition algorithm is proposed to identify and alert slope ...

supplying the gradient information and an equivalent model necessary for the ADP algorithm. Subsequently, the NNC weight parameters are adjusted by the ADP algorithm. The proposed NNC inputs include ...

This paper proposes an automated deep learning model and an optimal information ... with BO and QTbMPA feature selection algorithms to address these challenges. Our major contributions are listed ...