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News from Technical Sciences

Eel grass meadows are under pressure. A Danish study has examined the causes. (Photo: Peter Bondo Christensen.)

2020.12.01 | Department of Bioscience, Sustainability

Eel grass under pressure

Seagrass meadows the world over have vanished over the last 100 years. Danish eel grass meadows too are not growing as they did in the past. A new study of Danish measurements since 1890 suggests that the prevalence of eel grass meadows has dwindled because of eutrophication, bottom trawling and sea warming.

Corneliu Barbu (photo: AU)

2020.11.24 | School of Engineering Aarhus University, Sustainability

AU takes over vice-presidency of elite European network for energy technology

As the new vice-president of the European Association for Storage of Energy (EASE), Aarhus University will play an important role in European efforts to promote the green transition.

The ibrAIn center will be located in the Edison building at Aarhus University. Photo: AU Foto.

2020.11.16 | Department of Engineering

Aarhus University links brain research and artificial intelligence in new centre

A new cross-disciplinary centre will develop brain-machine interface technologies. One of the goals is to develop the next generation of technology to monitor, diagnose, and treat brain diseases while at the same time developing brand new brain-inspired AI hardware.

The acting heads of department and deputy heads of department are now in place to ensure that the new departments get off to a good start. Photo: AU Foto

2020.11.12 | Faculty of Technical Sciences

New engineering departments: acting managers now in place

When the four new engineering departments open on 1 January 2021, they will have a transitional management until the appointment process for the new heads of department has been completed. The acting heads of department and deputy heads of department are now in place to ensure that the new departments get off to a good start.

"The need for machine learning techniques to understand data is greater than ever before," says Postdoc Martin Magris. PData. Network.hoto: Istock.

2020.11.06 | Department of Electrical and Computer Engineering

How neural networks can help us gain a deeper understanding of financial markets

A new research project at Aarhus University will use Bayesian Neural Networks to model, analyse and understand trading behaviour in the world of finance. The researchers behind the project expect the technology to revolutionise our understanding of financial data.

"We can see a relatively large gap between newly developed technologies and strategies and the actual use of these sustainable technologies in the agricultural sector all over Europe," says Professor Claus Grøn Sørensen, Aarhus University. Photo: Colourbox.

2020.11.05 | Sustainability, Department of Electrical and Computer Engineering

New EU-funded project to make agriculture fossil free

There are lots of green, modern agricultural technologies, but they are used far too little. With funding of DKK 15 million, a number of European innovation hubs will now find out how technologies can be promoted and adapted to the users.

Photo: AU Foto

2020.11.04 | DCA - Danish Centre for Food and Agriculture, Sustainability

Drones will reduce agricultural CO2 emissions

ReDoCO2 is a new Danish development project, which the Innovation Fund Denmark supports with DKK 24.3 million. kr. Researchers from the Department of Agroecology will, in collaboration with Aalborg University, RegionMidt, SkyTEM, and I • GIS, develop methods and technology for mapping and analysing peatlands, one of the major sources of CO2…

September 5, 1941, Porlammi, Finland. A Finnish soldier stands in front of a seized BA-10 armored vehicle. Photo: Heikki Roivainen. Source: SA-kuva.

2020.11.02 | Department of Engineering

Artificial intelligence dives into thousands of WW2 photographs

In a new international cross disciplinary study, researchers have used artificial intelligence to analyse large amounts of historical photos from WW2. Among other things, the study shows that artificial intelligence can recognise the identity of photographers based on the content of photos taken by them.