You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash your cloud bill and carbon footprint.

We introduce a biologically inspired bird-flocking experimental framework for text summarization that identifies the most salient sentences using contextual information, sentence position, and ...

In this tutorial, we build a complete pipeline for single-cell RNA sequencing analysis using Scanpy. We start by installing the required libraries and loading the PBMC 3k dataset, then perform quality ...

This repository provides a reusable, local-first preprocessing pipeline for multi-format business documents (PDF, DOCX, XLS/XLSX, PPT/PPTX). Its objective is to generate sample input files, extract ...

Abstract: With the increasing availability of raw text data, Natural Language Processing (NLP) application like predictive modeling has become more prevalent. Consequently, the effectiveness of text ...

Feb 10 (Reuters) - U.S. pipeline operator Williams Companies (WMB.N), opens new tab on Tuesday forecast 2026 profit above analysts' expectations as new pipeline and offshore projects drive growth and ...

The project explores multiple machine learning approaches including traditional ML models (Logistic Regression, SVM, Naive Bayes) and ensemble methods (Random Forest, XGBoost, Voting Classifier).

Abstract: Text summarization is a process in which the original vast text is reduced into a smaller version while retaining its abstract meaning. The text summarizing is done in common global and ...

Amsterdam-based Greenpeace International is a defendant in an ongoing lawsuit in North Dakota district court, where Energy Transfer accuses it and two other Greenpeace entities of conspiring to use ...