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Artificial Intelligence in Science and R&D: Applications and Implications – scientIA
Associated with the deluge of big data, Artificial Intelligence (AI) has gradually moved out of the fields where
Virtual Maintenance Companion – VIMACO
sciences in virtual immersion and artificial intelligence) and CAPS (cognitive sciences) laboratories [...] in a movement, a contribution of artificial intelligence techniques for the analysis of human behavior [...] the disciplines of virtual reality, artificial intelligence, movement neuroscience, advanced technologies
Development of a 3D holographic video microscopy associated with convolutional neural networks (CNN) to identify novel markers of preimplantation embryonic health – LIVE3D_CNN
field of optical instrumentation and artificial intelligence (AI) and infertility and early mammalian specialists
Smart MEMS Instrumentation for Biophysical flow Cytometry with Statistical Learning – CYTOMEMS
identification by statistical and artificial intelligence approaches is planned at the end of the project
Target-agnostic drug discovery approaches for neuromuscular diseases – TREAD
on multiparametric approaches and artificial intelligence to identify new therapeutic. Overall, our proposal
Development of low-dose cryo-scanning transmission electron tomography using sparse images to study whole eukaryotic cells at the nanometre scale – C-STET-4-E-Cells
shearlets-based inpainting methods and artificial intelligence. We will apply the method on the study of the
Generating Counter Arguments to Fight Disinformation on the Web – ATTENTION
counter it. Indeed, there is a need to design intelligent solutions to fight the spread of disinformation [...] propose to address that urgent need by designing intelligent ways to identify disinformation online and generate [...] perspective including law, sociology and Artificial Intelligence in order to ensure as a result AI solutions
The powers of the soul. Anthropology of the experience (XIV-XVI) – ANTHRAME
without reducing their scope. disruptive effect on intelligence.
Integrating human cognitive traits in synthetic intelligent agents to understand market dynamics – CogFinAIgent
financial markets, is a key challenge for artificial intelligence systems. On the one hand, we need to grasp how [...] We aim to characterize these feedbacks using intelligent agent-based models (ABM-AIs) whose properties
Machine Learning and Econometrics for Risk Measurement in Finance – MLEforRisk
The growing use of artificial intelligence and Machine Learning (ML) by banks and Fintech companies is