Pharmacometrics has long provided a scientific foundation for quantitative decision-making in drug development and therapeutics. Yet, much of its ...

An analysis of LLM referral traffic shows low volume, rapid growth, shifting citations, and an 18% conversion rate.

The most popular way we evaluate large language models measures the wrong thing: likeability over accuracy and value.

Integrating AI with advanced robotics to create self-driving labs (SDL) is a promising approach to tackling molecular discovery. A new SDL system, called LUMI-lab, combines large-scale molecular ...

Researchers at the University of Tuebingen, working with an international team, have developed an artificial intelligence that designs entirely new, sometimes unusual, experiments in quantum physics ...

AI safety tests found to rely on 'obvious' trigger words; with easy rephrasing, models labeled 'reasonably safe' suddenly fail, with attacks succeeding up to 98% of the time. New corporate research ...

The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...

This study introduces a transformer-based deep learning approach using a single-lead electrocardiogram (ECG) for OSA detection. The proposed architecture, designed to handle raw signals with high ...

Abstract: This paper introduces a Transformer-based framework for high-precision indoor localization in 6G-enabled Internet of Things (IoT) environments, enhanced by reconfigurable intelligent ...

Studies were included if they focused on the development and application of LLMs within health care using PHI, encompassing activities such as model construction, fine-tuning, optimization, testing, ...

Abstract: In LiDAR-based 3D object detection, severe occlusion often leads to incomplete object shape in point cloud scene. It is a critical challenge as it will significantly degrade detection ...