Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...

A technical paper titled “Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning Techniques” was published by researchers at Commonwealth Scientific and ...

Stable Diffusion, an image generation AI, is an AI called 'latent diffusion model' that can generate highly accurate images just by inputting text. A report has been posted on the online bulletin ...

Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...

CompatibL wins the Best modelling innovation award for the second year running, this time for creating a new type of interest rate model based on autoencoders. Until now, interest rate models have ...