Search

Your results

Showing 7 of 7 results

Automated decision-making by systems that use machine learning to dynamically improve performance are still seen as lacking the 'human perspective' and flexibility to adapt to the particular nuances of specific cases. But perhaps, as they lack the 'cunning' to hide their biases, automated systems actually make fairer decisions than do humans, when these decisions are based on data that have been properly curated.

The European Union has an ambitious climate strategy and is looking for ways to boost technologies that will make it possible. Could hydrogen and the deployment of related technology and infrastructure become a decisive factor in decarbonising specific industry sectors?

The second part of the STOA study, 'A framework for technology foresight intelligence', this report deals with horizon stakeholder engagement for the strategic and practical purposes of the STOA Panel's activities. It analyses online engagement methods and tools and their suitability for brainstorming meetings, and for technology assessment and foresight projects. To gain insight and experience in the use of online methods and tools for engagement, these were implemented in one ongoing STOA project ...

Cities are inevitably affected by shocks and disruptions, the pandemic being a case in point. The extent of the impact however depends on cities' preparedness and capacity to adapt. By thinking ahead, cities can explore emerging or plausible developments in order to anticipate them and contain potential disruption. Drawing on a report prepared by the European Strategy and Policy Analysis System (ESPAS), this EPRS paper explores the impact on and implications for cities of current global trends, such ...

- Artificial Intelligence: the real driving force of IoT. - Artificial Intelligence of Things (AIoT) incorporates all the possibilities of AI and IoT, but also all ethical and legal concerns. - Potential advantages and possibilities for EU of Artificial Intelligence of Things.

The steel sector is one of the most challenging sectors to decarbonise and has recently received special attention owing to the potential use of low-carbon hydrogen (green and blue) to reduce its fuel combustion and process-related carbon emissions. This report addresses concerns that might arise while evaluating the potential and limitations of the future role of hydrogen in decarbonising the iron and steel industries. The report provides a comprehensive overview of current technical knowledge, ...

As happens with all applications of AI, autonomous vehicles require abundant data. Information external to the vehicle is crucial as it needs to know the structure of the road and the presence of obstacles or other vehicles in its path. Internal information is also essential, as the vehicle needs to know its own status and the reliability of critical elements, such as brakes. Even if autonomous vehicles need to detect traditional signals and allocate uncertainty areas while sharing the public thoroughfare ...