A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

Abstract: Received signal strength (RSS)-based localization techniques rely on the transmit power of nodes, with many existing approaches assuming full knowledge of this parameter. However, transmit ...

Objectives To develop and validate educational clinical vignettes (CVs) based on real-life patients with serious pathology from the disciplines of oncology, internal medicine and orthopaedics that are ...

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 ...

Vocal biomarkers, defined as acoustic or linguistic features extracted from voice samples, are an emerging innovation in medical diagnostics. Utilizing artificial intelligence, machine learning, or ...

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 ...

Anyone relying on the particle size results from DLS or liquid particle counters should consider and address how the data will be used and how to assure the quality of the final results. This ...

Abstract: The complexity and uncertainty of deep neural networks (DNN) necessitate comprehensive behavior testing for model quality assurance. Current studies generating samples via coverage criteria ...