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 ...
Disentangled variational autoencoder (D-VAE) separates materials properties from the latent space by conditioning to make inverse materials design more efficient and transparent. It combines labeled ...
Researchers develop an AI-based platform that integrates reaction data with catalyst performance for the design of new ...
The research team included, back row, from left, Shih-I (Harry) Tan, Nilmani Singh, Aashutosh Boob, and front row, from left, Teresa Martin, Li-Qing Chen, and Huimin Zhao. The mitochondrion, often ...
Researchers at New York University have developed a new architecture for diffusion models that improves the semantic representation of the images they generate. “Diffusion Transformer with ...
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 ...
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