This article explores the transformative role of Artificial Intelligence (AI) in surveillance systems. It highlights various applications of AI, such as object detection, facial recognition, and ...

Researchers at Jefferson Lab developed an AI-based system, DIDACT, to optimize high-performance computing clusters by continually learning and selecting the best-performing model daily, reducing ...

Researchers are advancing mixed reality and AI technologies to enhance first responder training, integrating virtual elements into real-world scenarios to reduce risks and improve emergency response ...

Researchers benchmarked AI models using the Seshat Global History Databank and found significant gaps in their ability to understand and analyze expert-level historical knowledge.

Researchers introduce the LAISC methodology to address AI safety concerns, offering systematic tools for mitigating risks in autonomous systems, validated with a driverless train case study.

A national survey found that 65.8% of adults distrust their healthcare systems to use AI responsibly, highlighting concerns about safety and transparency in AI adoption.

A new optical chip-connection system aims to break the “memory wall” that limits AI model growth and computing speed by replacing traditional electrical connections with reconfigurable light pathways, ...

Researchers from Rice University and an international team have secured multimillion-dollar funding to develop next-generation superconductors using AI and quantum geometry, aiming for ...

Researchers have developed a new deep learning-based workflow that can automatically detect and pick teleseismic phases with high speed and accuracy, dramatically improving how we analyze earthquake ...

Researchers have developed Torque Clustering, a new AI algorithm that mimics natural intelligence, enabling unsupervised learning with unprecedented accuracy and efficiency.

The escalating frequency and severity of natural disasters worldwide have spurred interest in leveraging artificial intelligence (AI) for disaster management. AI enables predictive modeling, early ...

The integration of Artificial Intelligence (AI) in student performance tracking is reshaping education, automating grading, offering personalized insights, and enabling early intervention. This ...