The study, titled “Performance Differentials in Deployed Biometric Systems Caused by Open-Source Face Detectors,” examined ...

As the science community’s focus on climate change and adaptation continues to grow, research fellows are playing a pivotal ...

In an increasingly digitized world, anonymity, encryption, and global connectivity have emboldened cybercriminals, made locating missing persons harder, and allowed debtors to obscure their tracks.

Microsoft researchers believe they have found a way to use machine learning to push those limits for small molecules (arXiv 2025, DOI: 10.48550/arXiv.2506.14665).

Under the umbrella of artificial intelligence (AI), deep learning enables systems to cluster data and provide incredibly accurate results. This study explores deep learning for fraud detection, ...

In this research, we put forward an architecture that combines recent deep learning algorithms with geometry techniques to create robust models that can handle aspects like detection, tracking and ...

The method predicts keyhole pores in 3D printed metal parts by using a combination of thermal imaging, X-ray imaging, and machine learning.

Background Predicting the final infarct after an extended time window mechanical thrombectomy (MT) is beneficial for treatment planning in acute ischemic stroke (AIS). By introducing guidance from ...