Research shows that CNNs trained on camouflage detection improve brain tumor classification in MRI scans, highlighting the ...

AI models trained on MRI data can now distinguish brain tumors from healthy tissue with high accuracy, nearing human performance.

The lightweight face recognition model optimized for edge device applications is now state-of-the-art for all benchmarks on the Papers with Code leaderboard.

Retrieval Augmented Augmentation helps to optimize the output of LLMs. GraphRAG also brings a visual component into play.

In a paper published in Scientific Reports, researchers proposed a hybrid quantum-classical 3D convolutional neural network ...

A unique combination of explainable AI and repurposing animal camouflage detection algorithms can identify human brain cancer ...

Machine Learning (ML) and Deep Learning (DL) algorithms can reduce road accidents through their ability to detect sleepy ...

Johns Hopkins engineers have developed gel strips that change shape when given chemical instructions written in DNA code.

Specifically, a novel convolutional neural network (CNN) framework is proposed for time series classification. Different from other feature-based classification approaches, CNN can discover and ...

Although sales of tobacco products have been restricted in hundreds of municipalities across the US, a new study is ...