Aimed at integrating cutting-edge psychological science into the classroom, columns about teaching Current Directions in Psychological Science offer advice and how-to guidance about teaching a ...

Content chunking is a technique for breaking down information into smaller, focused sections that make content more scannable, comprehensible, and actionable for both human readers and AI systems. And ...

When you need to hit a pitch shot that launches high and stops quickly, it’s essential to learn how to use the bottom of your club — the bounce — properly. If your wedge digs into the turf, you may ...

8 great Python libraries for natural language processing With so many NLP resources in Python, how to choose? Discover the best Python libraries for analyzing text and how to use them. By Serdar ...

Abstract: This paper presents a novel two-phase semantic chunking methodology designed to enhance document processing within Retrieval-Augmented Generation (RAG) systems. The proposed approach ...

In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...

Abstract: Graph neural networks (GNNs) are effective models for analyzing graph-structured data, but encounter challenges when training on large distributed graphs. Existing GNN training frameworks ...

Unlock automatic understanding of text data! Join our hands-on workshop to explore how Python—and spaCy in particular—helps you process, annotate, and analyze text. This workshop is ideal for data ...

Picture this: You’ve just crushed your drive right down the middle of the fairway. You’ve got a wedge or a short iron in your hands, and the pin is easily accessible right in the middle of the green.

At Everglades National Park, visitors watched as a hefty alligator wrestled with a Burmese python, thrashing the snake's body in the water before sinking its jaws back in, reported the Miami Herald.