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We Fix Traffic!. Data-Driven Traffic Smoothing Technologies for Sustainable Transportation.
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Three Projects on the Data Challenges of the Large Hydron Collider
High Energy Physics researchers and the mobility industry face similar challenges while both share Real-Time Analysis (RTA) as a solution. The Large Hydron Collider /CERN produces over 1 megabyte of data every time there is a collision. Currently, there a
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Machine Learning for Seafloor Geology
An introductory niche project regarding data analysis for the Geological Survey of Sweden (SGU) based on marine geology footage, pointing to future directions and research to implement a broad machine learning support system for annotations of seafloor vi
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AstraZeneca ML cell identification project
The problem: Cell biologists in their effort to correctly identify individual cells, must use different chemicals on cell samples. There are 2 serious downsides to the current practice: the process itself is very costly and these chemicals end up destroyi
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Cities, Swedish National Space Agency Covid-19 project
Due to public health concerns, the city of Malmo, Sweden and other municipalities, want to be able to access public outdoor spaces in real-time and get accurate information on pedestrian traffic patterns, in order to be able to better manage overcrowding
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XIMANTIS Innovates Traffic Forecasting with AI - Stochastic Algorithm Targeting Reduction in Congestion and Emissions
ONSALA, Sweden, March 20, 2018 /PRNewswire/ -- XIMANTIS AB, A Swedish start-up announces the successful integration of Machine Learning with stochastic...
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Ximantis AB Announces Its Entry to Connected Cars and Autonomous Vehicles Software Systems
/PRNewswire/ -- XIMANTIS AB, a Swedish start-up, announces its entry to the Autonomous Vehicles and Advanced Driver Assistance Systems (ADAS) software platform...
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