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Optimized on-demand ultrafast and broadband light sources using machine learning – OPTIMAL
The generation of coherent light by lasers was one of the most important scientific discoveries of the 20th century. Lasers have revolutionised almost every field of science and paved the way for entirely new applications in industry and technology. Of particular importance is the ultrafast laser, c
Inside Artificial Improvisation – InAI
Artificial Improvisation is the subfield of Artificial Intelligence devoted to designing musical agents capable of participating in collectively improvised musical performances with other agents (humans or artificial). It is well-known that the understanding of artificial agents is plagued by the op
Secure vital signs and Location estimation: A smart health vision via RF sensing – SecLoc
With the wide-scale proliferation of wireless communication and ubiquitous computing, radio frequency (RF) sensing has emerged as a key enabler for myriad cutting-edge applications in the domain of digital health. SecLoc project positions itself at the technological forefront, aiming to tackle the c
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
Damage-Tolerant Micro-Trusses inspired from Crystal Plasticity analogues – MIRACLES
The objective of this pathfinder and interdisciplinary MIRACLES project is to draw on the knowledge inferred from bi-crystalline plasticity in face-centered cubic metals (bi-crystallography, slip/grain boundary interactions) in order to guide by geometrical analogues the manufacturing of new tailore
Development of stretchable and imperceptible magnonic systems – SYSMAG
This project is situated in the broad context of stretchable electronics, and more specifically in that of magnetic systems deposited on compliant substrates, which are of growing interest. Indeed, increasingly complex forms of electronic devices and intelligent textiles must incorporate magnetic fu
Animal Health and Behavior: The role of behavior in pathogen transmission heterogeneity, implications for management of gastro-intestinal nematodes – HealtHavior
Gastro-Intestinal Nematodes (GIN) are a major threat causing economical losses and poor animal welfare for most livestock with access to pasture. Many farmers actually prefer to raise animals indoor to avoid contact with GIN. Current management is mostly based on systematic anthelmintic (AH) treatme
Heterogeneous Real-time systems Implementability for AI Tasks on Accelerators and GPU-based Embedded architectureS – HeRITAGES
During the last decade, artificial intelligence (AI) has received particular attention from academic and industrial communities. This made it possible to develop complex systems, such as those required for Autonomous driving and Advanced Driver-Assistance Systems (ADAS). These systems process a lar
CRYstalluria sensing for kidney stones SElf-MOnitoring – CRYSEMO
The recurrence of the kidney stones (or urinary lithiasis) increases in all industrialized country implying an increasing cost for healthcare systems. To prevent this crisis of renal colic, the analysis of the quantity of crystals in the urine, called crystalluria, has proven its relevance. However,
CompreHending And Mitigating Error in AnaLog ImplEmentations of On-Die Neural Networks – CHAMELEON
Artificial intelligence, in general, and neural networks, in particular, are used in myriads of contemporary applications. While software and/or digital hardware implementations of neural networks currently enjoy the lion's share of the market, a number of emerging realities are necessitating the de
