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Computational Learning for Efficient and Accurate Reconstruction in Microscopy – CLEAR-Microscopy
Microscopic imaging is a key technology for our understanding of molecular and cellular processes. In recent years, artificial intelligence (AI) has emerged as a promising tool to revolutionize this field. It currently dominates the academic image reconstruction challenges and begins to appear in co
Graph Neural Networks model introspection via learning and exploiting rules – PANDORA
The recent major advances in Artificial Intelligence are to a very large part due to the significant progress in Machine Learning on the topic of Deep Neural Networks, which have been shown to be able to achieve state-of-the-art performance in just about any application area. Such networks have a la
Measurement of microvascular perfusion by remote photoplethysmography applied to wound monitoring – Wound-rPPG
Chronic wounds are a major health problem, affecting millions of patients in Europe and resulting in substantial costs to healthcare systems. Traditional methods of wound monitoring, based on subjective visual observations and manual measurements, are often imprecise and painful for patients. To add
Analyzing cinematographic and audiovisual works in a digital context. New tools, new practices. – NUMALYSE
The Collaborative Research Project "Analyzing cinematographic and audiovisual works in a digital context. New tools, new practices" (NUMALYSE) will offer the academic, educational and cultural communities new digital tools to facilitate the analysis of cinematographic and audiovisual works and their
Verified Foundations of Large-Scale Distributed Graph Systems – VERDI
Traditional relational data management systems are challenged by the abundance of highly interconnected heterogeneous data. This led to a surge in the popularity of graph databases in many industry and academic areas. For example, graph datasets with world-wide multi-omics data for genomic analyses
Eco-design of sustainable high entropy shape memory alloys: combinatorial and data-driven exploration – ECO-SHEAP
Shape memory alloys (SMAs) are a family of smart materials characterised by remarkable properties such as superelasticity, shape memory or damping. However, these alloys are prone to functional thermal fatigue and thermal ageing problems. One way to overcome these problems is to develop high entropy
(Re-)claiming digital sovereignty in discourse, policy and practice – ClaimSov
The concept of “digital sovereignty” (DS) is increasingly employed to describe various forms of independence, control, and autonomy – exerted by states, but also “quasi-state” entities such as indigenous first nations, autonomous regions or civil society collectives – over digital infrastructures, t
Transcending the Usual Rationale for the Future of Ubiquitous NETworks – TURFU-NET
The TURFU-NET project orchestrated by Quentin Bramas at the University of Strasbourg represents a pioneering initiative set to redefine network management and optimization through the integration of cutting-edge neurosymbolic Artificial Intelligence (AI). Spanning four years, this collaborative effo
Determinants and impact of AI Education – AI-Edu
“The best way to send knowledge from one place to another is to wrap it up in a person”. This famous quote by Robert Oppenheimer depicts the importance of individuals in acquiring and transferring knowledge. Among individuals acting as vectors for knowledge transfer, PhD graduates, a highly educated
Orientation microscopy and cryo-electron tomography to study glycan-dependent assembly of membrane nanodomains – OMEGA-MEMDO
The existence of membrane nanodomains is accepted but the structural principles according to which proteins and lipids are co-assembled and the mechanisms by which membrane nanodomain construction affords biological outcomes remain poorly explored. At the cell surface, glycans provide a link for
