Researchers evaluated whether a deep learning model could distinguish between autoimmune neuroinflammatory disorders based on retinal thickness.

In the world around us, many things exist in the context of time: a bird's path through the sky is understood as different ...

Trained on quantum data, a new model makes computations more accurate while keeping computer costs low ...

Researchers from Noida International University and Dayananda Sagar University explored deep learning models for anomaly detection in solar power systems, comparing LSTM, FFNN, and Isolation Forest ...

In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...

This repository contains a collection of deep learning models for remote sensing spatiotemporal fusion. It includes sections on relevant survey papers, various deep learning model categories, and ...

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...

Artificial intelligence models can secretly transmit dangerous inclinations to one another like a contagion, a recent study found. Experiments showed that an AI model that’s training other models can ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...