Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

Engineers at the University of California have developed a new data structure and compression technique that enables the ...

A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they ...

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...

Python gives you far more control, and the ecosystem is stacked with libraries that can replace most no-code platforms if you ...

Handling Large Python Datasets Can Feel Overwhelming, but with the Right Tools and Habits, Can You Really Make Big Data Faster, Simpler, and Less Stressful to Work With? Prior knowledge of the size ...

We at Lightly created LightlyStudio, an open-source tool designed to unify your data workflows from curation, annotation and management in a single tool. Since we're big fans of Rust we used it to ...

scODIN (Optimized Detection and Inference of Names in scRNA-seq data) overview. a, Automatic top-level cell type identification to identify major clusters (CD4 T cells, B cells, monocytes) for further ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

A reptile hunter sprang into action last week to remove a 16-foot python that was slithering around a dumpster at a Los Angeles apartment building. Dramatic video shows 24-year-old Joseph Hart — ...