Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

A new technique estimates the reliability of a self-supervised foundation model, like those that power ChatGPT, without the need to know what task that model will be deployed on later. Foundation ...

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...

Despite increasing demand for AI safety and accountability, today’s tests and benchmarks may fall short, according to a new report. Generative AI models — models that can analyze and output text, ...

JERSEY CITY, Nov. 15, 2023 (GLOBE NEWSWIRE) -- Insurers now have a proven method to help assess their pricing models for unfair discrimination against certain protected classes, like race. Verisk ...

The National Institute of Standards and Technology (NIST), the U.S. Commerce Department agency that develops and tests tech for the U.S. government, companies and the broader public, has re-released a ...

Background Measures of postural orientation (i.e., the ability to align body segments in relation to each other) are needed because undesirable postural orientation is a potential risk factor for ...

Scientists in India utilized solar geometry to create a novel energy estimation model that reportedly accurately predicts both the front and back irradiance of bifacial PV modules. The model achieved ...

A new technique enables users to compare several large models and choose the one that works best for their task. Foundation models are massive deep-learning models that have been pretrained on an ...