Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

Background Coronary artery disease (CAD) is linked to an increased risk of mild cognitive impairment (MCI). Effective and ...

Feature extraction is then performed using MobileNetV2, and these features are used to train and validate classification models to differentiate between malignant and benign breast masses. The model’s ...

This project allows the user to extract static features from Windows PE files, which have been proven effective for malware family classification. Specifically, the list of the chosen features and the ...

Abstract: Traffic Classification (TC) is experiencing a renewed interest, fostered by the growing popularity of Deep Learning ... of model updates. To address this shortcoming, in this work we ...

When the IBM PC was new, I served as the president of the San Francisco PC User Group for three years. That’s how I met PCMag’s editorial team, who brought me on board in 1986. In the years ...

Master data science in 2025. Complete guide to machine learning, big data analytics, Python programming, statistical modeling ...

Training deep learning models at scale requires distributed training capabilities. This repository demonstrates how to leverage different distributed training frameworks on Databricks to accelerate ...

aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer ...