I've been testing AI content detectors for two years now. They're getting more and more reliable. These are the ones you can ...

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

Molecular glues, tiny molecules that connect one protein to another, are promising targets for pharmaceutical research. By ...

Some studies containing instructions in white text or small font — visible only to machines — will be withdrawn from preprint ...

This paper explores real-time text data clustering in news aggregation using the Message Passing Interface (MPI) with parallelized K-Means algorithm variants. We evaluate batch-based, centroid-based, ...

Text mining defines generally the process of extracting interesting features (non-trivial) and knowledge from unstructured text documents. Text mining is an interdisciplinary field which depends on ...

A new, densely annotated 3D-text dataset called 3D-GRAND can help train embodied AI, like household robots, to connect language to 3D spaces. The study, led by University of Michigan researchers, was ...