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

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

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

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 ...

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

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 ...

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

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

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 ...

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

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 ...