Courts are increasingly confronting AI-generated and AI-manipulated evidence land on their dockets. But with innovation comes ...

Abstract: With the rise of wearable sensors and smart devices, human activity recognition (HAR) has become a vital research area in ubiquitous computing. Although many studies report high accuracy ...

Abstract: Crane systems generally operate in challenging environments (e.g., harsh weather conditions and high-altitude work), which heightens the requirements of control systems for the safety and ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

As the fervor around ending animal testing in drug development has grown since President Donald Trump started his second term, a group of nonprofits, corporations and regulators has been meeting to ...

The integration of artificial intelligence (AI) in voice biomarker analysis presents a transformative opportunity for objective and non-invasive diagnostics in healthcare. However, clinical adoption ...

The Workshop is planned to highlight, review, and discuss issues related to the implementation of XRF methodologies, including addressing recommendations for compliance to technical requirements of ...

Validation of an analytical method provides evidence that when correctly applied, it produces results that are fit for purpose, thereby demonstrating the effectiveness of the method with an acceptable ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Despite its high cost, the role of treprostinil in managing ...

For the accuracy and repeatability validation, the "Day Constants" represent a calibration factor for each testing day. These constants are obtained by dividing the measured response (yij) by the ...