AI’s importance is rapidly growing, especially with Generative AI, which is expected to add trillions to global output by 2030. This white paper looks at trends in AI research outputs, and reveals a surge in AI-related research, especially after 2020, coinciding with the rise of Generative AI and large language models (LLMs). It breaks down AI jargon, such as natural language processing (NLP), large language models (LLMs), and Generative pretrained transformers (GPTs), and gives an overview of Digital Science’s AI suite, including Dimensions solutions such as Dimensions research GPT and Dimensions’ AI-driven summarization feature, and a snapshot of what other solutions such as OntoChem, metaphacts, Writefull, and ReadCube that also leverage AI. Finally, it underlines the importance of concepts such as data readiness for AI integration.
