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Parabolic flight with exoskeleton: Researchers test fine motor skills in weightlessness

Fine motor tasks under space conditions are particularly challenging and must first be trained on Earth. Scientists from the German Research Center for Artificial Intelligence (DFKI) and the University of Duisburg-Essen (UDE) are investigating whether a robotic exoskeleton that can simulate weightlessness is suitable for astronautical training.

Intelligenz gmbElsa kirchnerDeutsches forschungszentrumRobotics innovation center bremenParabolic flight campaignDepartment of medical engineering systemsGerman research centerUniversity of duisburgParabolic flight campaign in bordeauxIntelligenz gmbhArtificial intelligenceFlight campaignInnovation center bremenMedical engineering systems

The most important Internet event in EU Top 5 highlights of NGI Forum 2023

The most important Internet event in EU Top 5 highlights of NGI Forum 2023
nineoclock.ro - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from nineoclock.ro Daily Mail and Mail on Sunday newspapers.

Bruxelles capitaleKristina livitckaiaGabriele columbroIsabell clausIrene hernandezRoberto violaPaul jacksonMelanie riebackDeutsches forschungszentrumGeorg rehmAnthony harrisonIntelligenz gmbAndreea draganCamille moulinRenaud chaputMichael granitzer

AI@EDGE: the artificial intelligence of the future - safer, faster, more open

Changed on 08/03/2021 Heralding the imminent digital revolution in the service industry and manufacturing, AIAEDGE, a three-year EU research project that Inria will be participating in, has just been launched. The aim of the project is to develop a platform combining two types of cutting-edge technology: “reusable, secure and reliable” artificial intelligence; and edge computing, an alternative to cloud computing. © Inria / Photo D. Betzinger - driving the new industrial revolution in Europe To transition from artificial intelligence (AI) centralised on the cloud to embedded AI, getting closer to end users: this is the primary objective for the 19 European partners who have come together to form AIAEDGE. Coordinated from Italy by the Bruno Kessler Foundation, the project, which was launched in January, will receive more than eight million euros’ worth of funding over a period of three years as part of the Horizon 2020 call for proposals ICT52 2020.

Spain generalIntelligenz gmbTriagnosys gmbAbdelkader lahmadiAlessia torreMarco pistoreDeutsches forschungszentrumBruno kesslerCommunications technologySoftware radio systems ltdInstitute of communicationBells ltdResearch institutes of swedenTelecom italiaLund universityUniversity of lorraine

Cerence Receives Funding from Germany s Federal Ministry for Economic Affairs and Energy to Drive Innovation in Automotive Assistants for Autonomous Cars Nasdaq:CRNC

Cerence Receives Funding from Germany’s Federal Ministry for Economic Affairs and Energy to Drive Innovation in Automotive Assistants for Autonomous Cars Cerence joins five fellow industry leaders in three-year program to enhance trust in autonomous vehicles December 21, 2020 08:00 ET | Source: Cerence Inc. Cerence Inc. Burlington, Massachusetts, UNITED STATES BERLIN and BURLINGTON, Mass., Dec. 21, 2020 (GLOBE NEWSWIRE) Cerence Inc. (NASDAQ: CRNC), AI for a world in motion, today announced that it has received funding from Germany’s Federal Ministry for Economic Affairs and Energy and signed on as a member of the three-year EMMI (Empathische Mensch-Maschine Interaktion or, Empathetic Human-Machine Interaction) project. Cerence’s role in the project will focus on the creation of emotionally aware automotive assistants that increase trust in autonomous vehicles, a crucial element in the advancement of vehicl

Intelligenz gmbDeutsches forschungszentrumRaymond bruecknerCancontrols gmbCharamel gmbKate hickmanEmpathische mensch maschine interaktionMarkus funkSanjay dhawanAachen universityGermany federal ministry for economic affairsSaint gobain sekurit deutschland gmbh coCerence incFederal ministryEconomic affairsEmpathetic human machine interaction