Android Malware Detected Using Machine Learning to Automatically Detect and Click on Ads The malware can switch to a signalling mode that allows attackers to manually scroll and tap through a live ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

Abstract: Early detection of breast cancer is a critical global health challenge, and accurate classification of ultrasound images plays a vital role in diagnosis. This study presents an effective ...

Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.

This project uses deep learning techniques to detect malware by analyzing file characteristics, byte sequences, and behavioral patterns. It employs Convolutional Neural Networks (CNNs) for image-based ...

Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...

Cancer continues to be one of the world's top causes of death, partly because of delayed discovery of the disease. But according to a recently released study, a simple blood test may be able to ...

Every October, it seems like there’s a pink ribbon—the universal symbol for breast cancer—everywhere you go. However, most people may not even recognize an ovarian cancer awareness ribbon unless ...