For more than 30 years, credit decisioning has focused on improving speed and accuracy through automated, large-scale, ...

By bringing the training of ML models to users, health systems can advance their AI ambitions while maintaining data security ...

The study shows that poverty estimates fail during economic shocks not because of weak models, but due to missing real-time ...

Abstract: The integration of artificial intelligence (AI) with wireless sensor networks (WSNs) has substantially advanced the capabilities of these systems to collect, process, and respond to large ...

Abstract: Machine learning algorithms have become pervasive in diverse applications, revolutionizing various domains. However, the abundance of algorithms, each designed for specific purposes, poses a ...

A newly annotated fingerprint dataset combined with open-source software could help forensic examiners work more consistently ...

Here is how you know that GenAI training and GenAI inference are very different computing and networking beasts, and ...

Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...

Corporate investment in AI continues to accelerate globally and patent filings for AI-related inventions are rising across ...

Roaring over long distances is a key behavior of lions. They communicate within prides as well as with other animals using ...

During my past three years as a computing education Ph.D. student, I taught computer science courses to 72 incarcerated ...