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Categories: artificial intelligence

  • The simulated and the real forestry machine are controlled by the same AI model developed on a supercomputer in several million training steps. Photo: Viktor Wiberg

    The world's first AI-controlled forest machine trained on supercomputor

    For the first time, scientists have succeeded in creating a self-driving forest machine controlled by artificial intelligence. In a research study at Umeå University, Sweden, an AI system was developed that can operate the 16-ton machine without human intervention. The study has been carried out in collaboration with Skogforsk and Algoryx Simulation.

  • Anders Schogster and Jonas Hansson from the Police Education Unit together with Juan Carlos Nieves Sanchez, Associate Professor of Computing Science, are collaborating in a unique project. Photo: Victoria Skeidsvoll

    AI for future policing now being developed in Umeå

    Police officers will be able to use AI and new mixed-reality technology to test and develop ways to improve situational awareness in critical situations such as gang violence and shootings. "Our responsible AI research will be directly useful for police officers in the field," says Juan Carlos Nieves Sanchez, Associate Professor and Research Leader in Computing Science at Umeå University.

  • Virginia Dignum is one of 38 experts in UN's new high-level advisory body on artificial intelligence. Photo: Johan Gunséus

    Umeå professor new member of the United Nations AI Body

    Virginia Dignum, Professor at the Department of Computing Science, Umeå University, has, as the only Swedish representative, been appointed as a member of the United Nation’s High-Level Advisory Body on Artificial Intelligence, AI. The tasks of the body are to provide advice and propose solutions for the governance and management of AI at the global international level.

  • Getting intelligent computer programmes to recognise and express intentions is complex, Michele Persiani's thesis shows.

    Robots that recognize and express intentions

    he digital and physical worlds are becoming more and more populated by intelligent computer programmes called agents. Agents have the potential to intelligently automate many daily tasks such as maintaining an agenda, driving, interacting with a phone or computer, and many more. However, there are many challenges to solve before getting there, Michele Persiani's thesis shows.