In a constantly changing world, it is essential for researchers to anticipate the technological developments taking shape and to reflect on the fundamental changes in terms of uses and economic models, and more broadly on changes in society. Research lights our way forward, helping to shape a completely digital but nonetheless entirely human future.

Machine learning to combat ocean plastic pollution

● The detection of ocean plastic pollution remains very dependent on tedious site surveys and visual identification of images, both of which require extensive time and human resources.
● Since the late 2010s, academic research has tested artificial intelligence and computer vision approaches that make use of deep-learning algorithms to address this problem.
● Although increased automation may pave the way for more frequent detection over wider areas, emerging solutions will still have to contend with constraints in the field and a lack of algorithm training data.
Read more

Green and Local Energy Exchanges and Optimizing Network Consumption

GettyImages - Hexa-X-II

Hexa-X-II: the European flagship project leading the way towards a sustainable 6G


The support work of the digital transformation


The professional training face to the virtual reality

GettyImages - ChatGPT

Is ChatGPT a human-like conversational agent?


Monitoring the Security of Connected Personal Equipment in Real Time: How Could It Work?