Semantic Scholar is a cutting-edge AI-powered research assistant developed by the Allen Institute for AI, designed to accelerate scientific discovery by providing intelligent search, summarization, and analysis of scholarly literature. The platform leverages deep learning, natural language processing, and knowledge graphs to index over 200 million academic papers across multiple disciplines. Semantic Scholar's AI algorithms extract key concepts, identify influential citations, and generate concise paper summaries, helping researchers quickly grasp the essence of complex studies. The platform offers personalized recommendations, trend analysis, and topic clustering, enabling users to stay updated on the latest developments in their fields. Semantic Scholar's open API and integration with reference managers support seamless research workflows. Its commitment to open access and transparency makes it a valuable resource for academics, students, and industry professionals. With robust privacy protections and a user-centric design, Semantic Scholar is revolutionizing how scientific knowledge is discovered and utilized.