The development of disease surveillance and outbreak detection algorithms has become central to public health strategies worldwide. These systems integrate advanced statistical methods and ...

Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning algorithms ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

WEST LAFAYETTE, Ind. — Patent-pending imaging technologies created in Purdue University’s College of Engineering could be developed and commercialized for applications as diverse as medical imaging, ...

Key market opportunities include increasing demand for AI-enabled detection, integration with smart-city systems, adoption of advanced detection algorithms, and miniaturization of detectors for ...

MCLEAN, Va.--(BUSINESS WIRE)--BigBear.ai (NYSE: BBAI), a leader in mission-ready AI for national security, today announced the successful integration of its Pangiam ® Threat Detection solution with ...

Detecting when text has been generated by tools like ChatGPT is a difficult task. Popular artificial- intelligence-detection tools, like GPTZero, may provide some guidance for users by telling them ...