Order doesn’t always form perfectly—and those imperfections can be surprisingly powerful. In materials like liquid crystals, ...

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

Topological defects govern how many advanced materials behave, but predicting them has traditionally required slow, ...

Scientists have developed an AI system that can rapidly predict complex defect patterns in liquid crystals, cutting simulation times from hours to milliseconds. The approach could transform how ...

According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Wu Tian, vice-president of Baidu and deputy director of the National Engineering Research Center of Deep Learning Technology and Application, launches the latest version of the Wenxin AI chatbot.

ARTS University Bournemouth has described a proposed collaboration with a Malaysian university as an “important step towards ...

These are five things in college I wish I knew about sooner. The USC Writing Center is a resource I wish someone had informed me about on my first day on campus. Visiting the Writing Center has helped ...