Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...
A machine learning approach shows promise in helping astronomers infer the internal structure of stellar nurseries from ...
A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Mr. Jeremy Sameulson, EVP of AI and Innovation at IQT, publishes VEILâ„¢ Privacy-Preserving Machine Learning Framework on arXiv: Introduces an architecture designed to enable use of sensitive data ...
Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how ...
Artificial Intelligence and its related tools, such as machine learning, deep learning, and neural networks, are revolutionizing every field of life. The domain of materials science and engineering is ...
In this digitally dominated economy, where instantaneous transactions are the order of the day for all businesses, the landscape of accounting technology has li ...
Personality tests are widely used in workplaces to shape recruitment, leadership training and team building. But what if artificial intelligence could make them faster, smarter and more accurate? New ...