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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.
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.
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.
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.
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.
A pan-European consortium consisting of vehicle manufacturers, research institutes and suppliers have joined forces to set up a new research and development project that will help industry convert from physical to virtual prototypes.
The Department of Engineering, Aarhus University, has received a grant from the Independent Research Fund Denmark to investigate nonlinear effects in semiconductor lasers – a stepping-stone to enable next generation higher-order modulation in fibre optic networks.
Does your company supply digital modelling technologies? Then participate in the HUBCAP programme, which can help you find new customers for your company. Small and medium-sized enterprises from all over Europe are involved in an attempt to embrace digital innovation.
A new research project is aiming to develop a camera-based separation system that can separate plastic waste according to type. The machine will be implemented at plastic recyclers, enabling the manufacturing industry to significantly increase the use of recycled plastics.
Intelligent marine robots open up a wide range of possibilities in the vast unknown areas below sea level, covering more than 70 per cent of the surface of the Earth. However, we need reliable artificial intelligence if robots are to operate on their own. A new EU-funded project will address this problem.
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