The research team “presented and verified a novel hybrid machine learning model capable of accurately predicting the ultimate axial strength of CFRP-strengthened CFST columns—a critical structural ...

The “machine learning-based age estimation model” will try to predict whether a user is under 18 and, if so, apply appropriate age filter settings to their account.

This new service is the first to combine real-time jobsite cameras with a specialized machine-learning model to identify, highlight and indicate the spatial configuration of materials within the ...

Researchers developed a machine learning model that can evaluate patients' PPD risk using readily accessible clinical and demographic factors.

Recently, mobile and embedded devices worldwide generate a massive amount of data at the network edge. To efficiently exploit the data from distributed devices, we concentrate on decentralized machine ...

Prof. Jiang Bin's research team at the University of Science and Technology of China (USTC) have developed a universal field-induced recursively embedded atom neural network (FIREANN) model, which ...

The researchers further established the theoretical condition under which the algorithm is guaranteed to provide a coreset, based on which near-optimal models can be obtained.

Do machine learning and AI help quantify model risk? The unprecedented Covid-19 pandemic and energy crisis have threatened model developers and validators, as traditional statistical models fail to ...