Semantic Scholar is an AI-powered research tool designed to simplify the discovery and analysis of scientific literature. By using natural language processing and machine learning, the platform provides highly relevant results and concise summaries of academic papers. Researchers can manage their reading lists, explore citations, and discover influential papers quickly and efficiently. Semantic Scholar indexes over 200 million academic papers, making it a comprehensive resource for researchers across various fields.

arXiv Viz provides a visual method for exploring and understanding the comprehensive database of research papers available on arXiv. This tool aims to make it easier for researchers, students, and enthusiasts to quickly grasp the key ideas, trends, and connections in academic literature across various fields such as physics, mathematics, computer science, and more. By transforming the traditional text-based search and browsing experience into an intuitive visual interface, arXiv Viz enhances the way users interact with and comprehend scholarly articles.