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Smart drilling and Human-Augmented technology in the Industry of the futuRe – SHAIR
The SHAIR project aims to define the drilling of the future and its place in the technical and social organization of the company. It is particularly focused on the aeronautics sector. Indeed, on production and assembly lines, this operation plays an important role since it involves parts with very
Unlocking Frontier Technologies in Firms: Insights from the Past, Challenges for the Future – TECHNOFIRMS
The landscape of jobs and work is evolving at an unprecedented speed, driven by advances in computer and engineering technologies, such as artificial intelligence and robotics, which have moved from the factory floor to an expanding array of knowledge and service occupations. There is no indication
Learning with limited annotations for medical image classification – MIMIC
Nowadays, Deep Learning has achieved a breakthrough in the field of Artificial Intelligence. However, huge, labeled datasets are needed to train on. Collecting such extensive annotated data is time and resources consuming and it is not feasible in the medical domain. Indeed, unlike the case of n
Normative Artificial Intelligence for regulating MANufacturing – NAIMAN
The digital transformation of manufacturing industries provides a nurturing environment for the adoption of more autonomous and (self-)adaptive technologies that can quickly and flexibly respond to endogenous and exogenous changes, while being transparent and complying with sustainable regulations.
Artificial Intelligence to improve the coupling between the Antarctic Ice sheet and the ocean/atmosphere system – AIAI
The fate of the Antarctic ice sheet is the largest source of uncertainty in future sea level projections. The magnitude and sign of the Antarctic contribution indeed results from the compensation of two opposite effects: increased surface mass gain and increased ocean-induced dynamical mass loss, bo
Ultra-Compact Non-linear Metamaterial Wave Processors for Analog Deep Learning – MetaLearn
Information processing based on tailored wave-matter interactions emerges as an appealing alternative to conventional digital processors in terms of speed and energy consumption, in particular for low-latency low-power Internet-of-Things sensors with artificial intelligence (AI). We will introduce l
AdaPting and exPLaining fairnEss for Preference-based assIgnmEnt – APPLE-PIE
Many real-life applications deal with preference-based assignments. In such multi-agent problems, agents have preferences over items (activities, resources, or even other agents), and these preferences must be aggregated into a collective decision which is an assignment of agents to these items. One
HEalth evAluaTion of COncrete Fundation For ElEctricity transport – HEAT COFFEE
Electrical energy plays a very important role or the welfare and survival of human beings and for the development of the country. Electricity must necessarily be available at a competitive price and at a regular, uninterrupted, uniform and stable supply. Otherwise, there will be disruptions in produ
Explainable Quality Assurance and Diagnosis in Manufacturing Processes – XQuality
French and German manufacturing companies are known for their high-quality production and their orientation towards smart factories. Quality assurance and control of complex production systems is a major challenge and is further exacerbated by the shortage of skilled labour in this domain. Quality p
5G-REalistic radio channel MOdels enabled system evaluation for RAilway environments – 5G-REMORA
The development of safe and secure applications such as remote driving, remote diagnostics, platooning of trains and autonomous vehicles in railway context has led to an unprecedented need for reliable radio links. The Future Railway Mobile Communication System (FRMCS) is designed at European level
