Eureka is MDPI’s reviewer recommender. It uses natural language processing and machine learning to extract the core concepts and themes from a manuscript’s title and abstract, searches for comparable previously published articles and reviews, and extracts potential reviewers…
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A360media, the publisher of Us Weekly, collaborated with Hum to implement the Alchemist AI content tagging engine. This initiative aimed to enhance the categorization of Us Weekly’s extensive content library, enabling more precise and scalable tagging aligned with…
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Karger Publishers partnered with Hum, an AI-powered audience growth platform, to enhance reader engagement and content personalization. By leveraging Hum’s data and AI capabilities, Karger aimed to better understand reader behavior, map content interests, and precisely target engagement…
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Jasper is being used by media and publishing companies to scale content creation, localize articles for global markets, and personalize messaging across formats. It supports everything from headline generation and ad copy to long-form editorial, with workflows tailored…
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A natural language-driven tool that enables users to design and style scholarly PDFs without needing technical typesetting knowledge. It allows users to interact directly with elements of a document and instruct the AI to apply style changes (e.g.…
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Lanstad is a cloud-based publishing production platform developed by Deanta. It offers a collaborative project management workspace that enables real-time XML editing, proofing, and content transformation. Leveraging AI and machine learning technologies, Lanstad automates tasks and simplifies workflows,…
MDPI’s Journal Finder recommends journals that suit a manuscript, based on its title and abstract. According to MDPI’s blog, the tool converts the text into a numerical representation of its meaning, known as an embedding, and runs a…
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OUP partnered with Hum to implement AI-driven, personalized call-for-papers campaigns. Utilizing Hum’s Alchemist Taxonomy & Tagging Engine, OUP analyzed reader behavior on their Oxford Academic platform to identify potential authors based on topical interests. Targeted pop-up messages were…
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The Papermill Alarm is an early-warning system from Clear Skies that alerts journal editors to papers showing signs of papermilling. Adam Day, who created it, describes it as detecting trends in the template titles and abstracts that paper…
The study evaluates Pub2Post (P2P), a generative AI platform designed to automate the creation of social media posts from urology journal articles. The tool generates posts that include title summarization, key findings, relevant emojis, hashtags, and direct links…
The ReadCube AI Assistant is an integrated tool within the ReadCube platform that leverages artificial intelligence to enhance the management and analysis of scientific literature. It allows researchers to interact with their libraries by summarizing articles, translating content,…
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ReviewFlow is an AI-driven workflow for novice peer reviewers, developed by Lu Sun, Aaron Chan, Yun Seo Chang and Steven P. Dow after a formative study of 10 novice and 10 expert reviewers. It prompts novices with contextual…
SAFI (Safe AI for IET) is the IET’s content chatbot running on an internally hosted LLM — the notable part being what it isn’t: a third-party cloud model with the IET’s content passing through it. Presented by David…
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Science42: DORA is a tool from Insilico Medicine that drafts scientific documents, such as papers and grant applications, using several AI agents working from proprietary databases and set workflows for referencing. Insilico announced a preview on 26 July…
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SciScore, from SciCrunch Inc., checks the methods sections of manuscripts for reporting rigour and transparency before peer review, screening against the MDAR, ARRIVE and CONSORT guidelines and flagging issues such as missing RRIDs, blinding, randomisation, power analysis and…
