A new study in Small introduces OptiMate, a machine learning model that predicts optical properties and identifies ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable ...

If you plan to use machine learning for research, consider ChatGPT’s shortcomings and inquire about AI tools’ training data ...

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...

Kumo AI says its new model can make business predictions more accurately than LLMs and more accurately than many small models ...

Learn how large language models like ChatGPT make knowledge graph creation accessible, revealing hidden connections in your ...

Financial institutions use AI to detect and prevent billions of dollars of fraud each year in areas including account ...

Quickly screen large amounts of possible materials for specific properties and select promising candidates for deeper ...

Newsweek once again partnered with the Best Practice Institute to analyze data from the Love of Workplace Index™, which ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example ... a multi-task deep learning model, to accurately predict ...