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Weekly News Digest
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May 13, 2025 — In addition to this week's NewsBreaks article and the monthly NewsLink Spotlight, Information Today, Inc. (ITI) offers Weekly News Digests that feature recent product news and company announcements. Watch for additional coverage to appear in the next print issue of Information Today.
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The Latest AI Products for Research
Springer Nature announced, “Following the successful rollout across its journals and books of its AI tool that detects cases of AI-generated nonsense text in research manuscripts, Springer Nature is now donating the tool to STM. It will be integrated into the STM Integrity Hub, an industry-wide initiative that supports publishers in ensuring the integrity of their published content, as part of its mission to develop and trial tools that publishers large and small can use to screen submissions for indicators of compromised content.”Wiley and Perplexity teamed up to “integrate Wiley’s authoritative content into Perplexity’s generative artificial intelligence (GenAI) search capabilities for educators and students. … This new collaboration will allow Perplexity users … to access purchased Wiley educational collections and resources in areas such as nursing, business, and engineering.” Learn more from Perplexity. 67 Bricks created a “new agentic AI research assistant for proprietary content [that] can be seamlessly integrated into all existing bespoke or third-party platforms. … [It] answers users’ queries with responses grounded in paywalled and proprietary content. The tool also guides users as to what else they should be reading, as well as prompting the user to make its suggestions more useful.” It was developed as “an alternative to the public tools released by Anthropic, OpenAI, et al, which require content to be publicly available in order to take advantage of the functionality.” Silverchair announced, “Dynamic Discovery is the latest output of Silverchair’s AI Lab. … Building on the success of [its] recently launched Oxford Academic AI Discovery Assistant, Dynamic Discovery leverages advanced RAG (retrieval-augmented generation) frameworks to direct users to the most pertinent articles, books, and conference papers using natural language queries instead of relying on simple keywords. The functionality presents the most relevant sources along with contextual information about why each was selected as well as clear relevance and access indicators. Users may refine their queries through follow-up questions or be seamlessly redirected to the full-text content on the platform.”
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Brandi Scardilli
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