Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the ...

Automated AI agents play a role in handling the vast amounts of data created by multiple stakeholders.

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

Objectives The development of simple tools to identify individuals at high risk of coronary heart disease (CHD) would enable rapid implementation of preventive measures. This study was designed to ...

What are LLMs? Know their working, meaning, benefits, & application, and discover the best large language model examples.

One of the great challenges of ecology is to understand the factors that maintain, or undermine, diversity in ecosystems, ...

This adjustment was performed by swapping out the part of an LLM that encodes a word’s position for one encoding a person’s ...

None of the most widely used large language models (LLMs) that are rapidly upending how humanity is acquiring knowledge has ...

When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational ...

Background The ‘right to request’ flexible working policy has been gradually extended and, by 2014, extended to cover all ...

M, a transformer-based AI trained on UK Biobank and Danish health data to predict and simulate lifetime trajectories for ...

2) The Oral Glucose Tolerance Test (OGTT) evaluates blood sugar levels two hours post-consumption of a 75 g glucose solution.