Or at least it will, once I finish the slow process of documenting everything ...

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Abstract: It looks at the improvements made in NLP achieved by transformer-based models, with special focus on BERT (i.e. Bidirectional Encoder Representations from Transformers), which have already ...

FMOkit is a command-line toolkit written in Python for both preprocessing and postprocessing of Fragment Molecular Orbital(FMO) calculations. Generates GAMESS input files for FMO calculations from the ...

Abstract: Technological advancement including the use of new media formats in creating digital documents calls for the development of enhanced processing techniques and methods. Old school Optical ...

A comprehensive Python library for processing French IGN LiDAR HD data into machine learning-ready datasets. Features include GPU acceleration, rich geometric features, RGB/NIR augmentation, and ...

FederalRegister.gov retrieves relevant information about this document from Regulations.gov to provide users with additional context. This information is not part of the official Federal Register ...