Ann Hitchcock, Autor auf 52°North Spatial Information Research GmbH

January 20, 2021

MariData GeoPlatform and Routing – Project kickoff

Reducing the energy demand of ships

52°North was pleased to join the virtual MariData kickoff meeting on December 17, 2020. The project’s aim is to reduce the energy demand and hence fuel consumption of cargo ships. To achieve this, MariData will model and analyse a ship’s energy demand based on the environmental and physical conditions. These models will be incorporated into a routing to deliver goods on time along the path with the smallest energy demand.

We look forward to developing comprehensive technologies for energy efficient machine learning based (ML-based) routing alternatives. As of now, we have initiated the MariData GeoPlatform’s requirements analysis and collated modelling approaches. First concepts and options are already under evaluation for their suitability.

This project is funded by the German Federal Ministry of Economic Affairs and Energy (BMWi).

December 17, 2020

Seasons Greetings!

We wish all 52°North software users, contributors, partners and customers happy and healthy holidays! 52°North would like to thank you for the successful collaboration in 2020.

Every holiday season we donate to a special cause instead of sending out christmas cards. This year our donation supports the Frühförderinitiative Tandem in Münster-Hiltrup.more >

December 3, 2020

Improving the Earth System with Artificial Intelligence

Federal Environment Minister Svenja Schulze presents grant for KISTE : AI Strategy for Earth System Data

During a virtual meeting with Mr. Markus Lewe (mayor of Münster), Federal Environment Minister Svenja Schulze presented the grant funding for the research project KISTE – AI STrategy for Earth system data to members of the project consortium. KISTE’s goal is to use artificial intelligence (AI) to help analyze, prepare and publicize data about the condition of nature and environment. A particular focus is on the use of machine learning. PhD students will explore and implement current AI approaches to spatio-temporal variable pattern recognition and pattern analysis in environmental data. They will focus on five thematic fields: clouds, snow/ice, water, air quality and vegetation. The resulting methods and concepts will be incorporated in an environmental AI platform. An integrated e-learning platform will provide teaching materials to educate young scientists and disseminate the acquired knowledge. This will foster the use of AI in the field of geosciences and bridges the gap between AI and domain expertise.

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October 30, 2020

Geospatial Sensing | Virtual 2020 retrospect

Virtual conference on geospatial sensing highlights importance of sensor data

52°North welcomed geospatial sensing researchers and practitioners to its first virtual event. From August 31st – September 2nd, approximately 60 participants from research, industry and public administration exchanged ideas about current developments for managing, publishing and visualizing sensor data. This year, a particular focus on data analysis emerged.

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