Single-cell analyses have emerged as powerful tools for studying cellular heterogeneity and gene regulation. Single-cell chromatin accessibility sequencing (scCAS) is a key technology that enables the ...

Researchers from OpenAI, Anthropic, and Google DeepMind found that adaptive attacks bypassed 12 AI defenses that claimed near ...

Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...

A UNH team led by Benjamin Fraser showed that remote monitoring of corn fields using unmanned aerial vehicles provides accurate plot- and field-level data more efficiently and with less labor than ...

Quantitative and qualitative approaches face different challenges and expectations, particularly when it comes to data ...

The language used to describe conflicts naturally reflects assumptions about how different forms of violence emerge and ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.

Introduction The commercial determinants of health (CDoH) are a rapidly growing field of research and global health priority. Despite being disproportionately affected, Indigenous Peoples’ voices and ...

Researchers from the University of St Andrews have developed an AI tool that reads animal movement from video and turns it ...

Beginning in the Fall 2026 semester, University of South Florida’s Bellini College of Artificial Intelligence, Cybersecurity ...

Scientists have turned to artifacts associated with Leonardo da Vinci on a quest to track down the legendary polymath’s ...