Recent advances in machine learning have significantly enhanced the diagnosis and prediction of thyroid diseases. By integrating diverse algorithms including ensemble methods, neural networks, and ...

A machine learning approach shows promise in helping astronomers infer the internal structure of stellar nurseries from ...

Mr. Jeremy Sameulson, EVP of AI and Innovation at IQT, publishes VEIL™ Privacy-Preserving Machine Learning Framework on arXiv: Introduces an architecture designed to enable use of sensitive data ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

A new tool that uses machine learning for drug discovery predicts how molecules will influence gene expression.

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...

Can living neurons replace AI? A new study shows that biological neural networks (BNNs) can be trained to perform reservoir ...

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

In this digitally dominated economy, where instantaneous transactions are the order of the day for all businesses, the landscape of accounting technology has li ...

Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how ...