Wonder what is really powering your ChatGPT or Gemini chatbots? This is everything you need to know about large language ...

Docling uses state-of-the-art models for layout analysis and table structure recognition to transform unstructured documents ...

Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that elude a purely ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

Abstract: An accurate no-reference image quality assessment metric for compression ... We chose the Video Multi-Method Assessment Fusion (VMAF) metric as our base measure to map visual quality of HEVC ...

Abstract: This work proposes a supervised machine learning method for target localization in deep brain stimulation (DBS ... localization as a non-linear regression problem in a reduced-reference ...

Our public libraries are far more than buildings filled with books – they are pillars of democracy, engines of lifelong learning, and gateways to opportunity for every resident, regardless of ...