Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced ...

Coastal oceanography focuses on understanding the dynamic physical processes that occur where land meets sea—a region of intense energy exchange, ...

Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...

TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...

A forecasting framework that measures how voters evaluate candidates’ future leadership abilities and policy expertise accurately anticipated the closely contested outcome of the 2024 United States ...

Abstract: Classical source seeking algorithms aim to make the robot reach the source location eventually. This letter proposes a process-aware source seeking approach which finds an informative ...

Neurologists use millisecond-level M/EEG tracking to prove the human brain and AI language models organize and predict language using parallel processing principles.

Through the integration of AI and elite data science, USAISEC will ensure the joint force remains ahead of transnational ...

Most legal technology shifts do not announce themselves with trumpets. They slip into ordinary practice first. Email was once ...

Quantum computers, systems that process information leveraging quantum mechanical effects, have the potential of outperforming classical computers on some tasks. Despite their potential, the use of ...