A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

From super-resolution smartphone cameras to vehicles that can anticipate human movement, computer vision is undergoin ...

GREmLN leverages a graph-based architecture to represent gene-gene interactions to predict cell behavior for therapeutic ...

In this study, we explore the combined use of CNN with transformer for feature extraction and propose two new models: swinTXUNet and swinTAUNet for the public available dataset of ischemic stroke CT, ...

Histopathological image classification stands as a cornerstone in the pathological diagnosis workflow, yet it remains challenging due to the inherent complexity of histopathological images. Recently, ...

“It’s an AI model that can be trained on the dataset to predict outcomes with transparency and accuracy compared to traditional statistical models,” she added.

This project is a deep learning-based image classification system that predicts a person's country of origin using only a facial image. It was developed as part of a capstone project by Sujan Singh, ...