Combine, Gothenburg Videos
Videos by Combine in Gothenburg. Vi förser industrin med kompetens inom reglerteknik, elektronik, mjukvaruutveckling och mekanisk de
We are getting ready for CHARM at Chalmers University of Technology! Are you ready? Come and visit us at Student Union Building. See you on February 7-8!
#CHARM #CHARM2023 #student #careerfair #masterthesis
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We are getting ready for CHARM at Chalmers University of Technology! Are you ready? Come and visit us at Student Union Building. See you on February 7-8! #CHARM #CHARM2023 #student #careerfair #masterthesis
On February 14th, Combine will be at the career fair LARM at Linköping University to talk to tech students! Come to our booth and have a chat between 9 AM – 4 PM. If you want read about some of the opportunities we offer for students before the fair, you can take a look here: https://combine.teamtailor.com/pages/master-thesis We look forward to seeing you! #LARM #LARM2023 #Linköping #Students #Tech #ControlSystems #AI #DataScience #ML
We designed and developed an end-to-end integration platform for Keller, the world’s largest geotechnical solutions specialist. Our product allows managers and engineers to have real-time access to their heavy construction-field machinery. Overall, and thanks to the real-time connection between the field and the office, Keller’s workflow has been astonishingly improved, production problems solved much faster, and decision-making taken to the next level. Read the case: https://lnkd.in/dUin42mi #IoT #IndustrialIoT #DataScience #MachineLearning #CloudComputing
We used a Digital Twin to generate synthetic data to train a neural network to estimate what cannot be measured, the friction between the tire and the road in a car. Learn how we did it and why it's beneficial in our latest case: https://lnkd.in/duWfJfna #AI #digitaltwin #datascience #deeplearning
Combine is the lead technical partner in the Vinnova-funded consortium Ocean Data Factory Sweden (ODF), Sweden’s national marine data laboratory. In this case, we set out to create a system that was able to automatically identify species underwater and thereby reduce the need for laborious human annotation. How did we do it? Read more: https://lnkd.in/dMcmAvNG #videoanalysis #deeplearning #datascience #AI #machinelearning #ODF