Fraunhofer-Institut für Angewandte Informationstechnik FIT hat dies direkt geteilt
🌟𝐏𝐮𝐬𝐡𝐢𝐧𝐠 𝐭𝐡𝐞 𝐅𝐫𝐨𝐧𝐭𝐢𝐞𝐫𝐬 𝐨𝐟 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐟𝐢𝐜 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐰𝐢𝐭𝐡 𝐀𝐈: 𝐌𝐞𝐞𝐭 𝐔𝐧𝐝𝐞𝐫𝐦𝐢𝐧𝐝🌟 Scientific research got a powerful upgrade. Undermind, an innovative deep scientific research assistant developed by Massachusetts Institute of Technology quantum physics PhDs Joshua Ramette and Thomas Hartke, is setting a new benchmark for efficiency and precision in research. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐔𝐧𝐝𝐞𝐫𝐦𝐢𝐧𝐝? Undermind leverages cutting-edge AI, including large language models, to emulate how human researchers retrieve and synthesize information. With the ability to scan hundreds of research papers on a given topic in just minutes, it generates a comprehensive report that includes: - A 𝐝𝐞𝐭𝐚𝐢𝐥𝐞𝐝 𝐬𝐮𝐦𝐦𝐚𝐫𝐲 of the topic - An 𝐚𝐧𝐚𝐥𝐲𝐳𝐞𝐝 𝐚𝐧𝐝 𝐜𝐮𝐫𝐚𝐭𝐞𝐝 𝐥𝐢𝐬𝐭 𝐨𝐟 𝐫𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬, complete with relevance scores and summaries This approach offers researchers a thorough overview of complex topics, saving countless hours while providing unparalleled depth and accuracy. 𝐖𝐡𝐲 𝐈𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬: Undermind is designed to outperform traditional tools like Google Scholar in terms of: - Relevance of results - Density of meaningful information - Ability to handle complex queries 𝐖𝐡𝐚𝐭 𝐒𝐞𝐭𝐬 𝐔𝐧𝐝𝐞𝐫𝐦𝐢𝐧𝐝 𝐀𝐩𝐚𝐫𝐭: The platform features a chat-based interface that enables users to refine their research objectives collaboratively. Through this iterative dialogue, users can craft precise prompts tailored to their goals. In just 2–3 minutes, Undermind delivers a detailed topic summary and a curated list of references, complete with relevance scores to help researchers prioritize effectively. 𝐇𝐨𝐰 𝐈𝐭 𝐖𝐨𝐫𝐤𝐬: Undermind's process mirrors a human-like research methodology through four iterative steps: 1️⃣ Basic Search: Identification of relevant papers using a custom algorithm. 2️⃣ Relevance Classification: Papers are evaluated based on their alignment with the search prompt using GPT-4. 3️⃣ Adaption & Exploration: Insights guide refinements, expanding the search intelligently. 4️⃣ Comprehensiveness Estimation: Progress is tracked to ensure a thorough search. At present, Undermind scans over 200 million articles from the Semantic Scholar database, covering every scientific domain. While it currently processes abstracts and metadata, plans to incorporate full-text searches promise even greater utility in the future. 🔗 Ready to experience the future of research? Find more information about Undermind in the authors’ whitepaper (https://lnkd.in/dBgtsnfk) and try Undermind (https://lnkd.in/dU2N65mV)! 👏 A huge shoutout to Joshua Ramette, Thomas Hartke, and the Undermind team for advancing the frontiers of scientific research. We can’t wait to see how this tool evolves! Fraunhofer-Institut für Angewandte Informationstechnik FIT FIM Forschungsinstitut für Informationsmanagement