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sciencemap
AI-based research assistance
Team:
Hilke Laich (Dipl. Social Pedagogy)
Eric Liebig (M.Sc. Manufacturing Engineering)
Aleksandr Malyshev (B.Sc. Applied Mathematics and Informatics)
Tomas Novotny (M.Sc. Vehicle Engineering)
Sector:
Software
Mentor:
Prof. Dr.-Ing. Roland Jochem
Faculty:
Faculty V - Mechanical Engineering and Transport Systems,
Institute of Machine Tools and Manufacturing Operations,
Chair: Quality Science
Support:
Berliner Startup Stipendium: 01.06.2018 - 30.11.2018
Sciencemap provides an AI-based research assistant, that visualizes available information and accelerates the capture of current research results.
Our idea
The goal of the foundation project is the development of a new software tool that the management of research and knowledge will revolutionize using modern AI-based algorithms.
For universities, research institutes and enterprise R & D departments,
the tool will provide significantly simplified access to existing knowledge from internal and external sources, reduce research efforts, match experts and potential partners, avoid parallel investigations, and significantly improve the use of R & D resources.
Research projects can be made more effective in terms of time and costs, allowing customers to benefit from reduced development times and higher output from R & D expenditure.