Anyone preparing for quant interviews must develop depth across several skill areas and know how to apply theory in a ...

Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...

🔥 FAR leverages clean visual context without additional image-to-video fine-tuning: Unconditional pretraining on UCF-101 achieves state-of-the-art results in both video generation (context frame = 0) ...

Kenyan scientist Fridah Mokaya made history as the first black woman to earn a PhD in Nuclear Physics from the University of ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Overview: Advanced Big data courses equip learners with skills in analytics, machine learning, and data visualization.Hands-on experience with tools like Hadoop ...

Remote work and high salaries can go hand in hand. Many professionals, especially those with sought-after credentials and experience, earn top dollar in high-paying remote jobs that offer more ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

The system's ability to learn and adapt from operational data resulted in continuous performance improvements over time. Hospital administrators reported significant reductions in scheduling conflicts ...

Vehicle platooning, first studied as an application of Intelligent Transportation Systems (ITS), is increasingly gaining ...

Test vendors use AI and machine learning to handle massive data volumes from complex electronics and detect hard-to-find ...