Search for a funded project
Artifical Intelligence applied to augmented acoustic scenes – HAIKUS
deep regression methods in order to map audio features extracted from observed signals to the acoustic [...] perspective, i.e. with different input and output features, and different assumptions about the known and [...] Learning the mapping between the observed audio features and the target acoustic parameters requires the
Lattice-based multicomponent diffusion framework – LEMONADE
equilibria. The simulation of microstructural features (pores, phase domains) at the scale of a grain [...] support for spatially resolved microstructural features and multiaxial stress states. Diffusion couple
Alcohol-related neurodevelopmental disorders: imaging and modelling markers from the brain anatomy – ANDIMBA
ANDIMBA aims to identify, characterise and combine for diagnostic and prognostic purposes neuroanatomical MRI markers of Fetal Alcohol Spectrum Disorders (FASD), which are still lacking in the clinical setting. Its approach is to combine clinical expertise in FASD giving access to a large set of radio-clinical data and expertise in computer-assisted neuroimaging providing innovative tools to study the brain with developmental growth anomaly.
MIcro to macro-scale MOdeling for SAfe Hydrogen combustion in fluidized beds – MIMOSAH
Provide a very fine characterization of hydrogen combustion in the presence of particles at microscopic scale. Develop a reliable macro-scale modeling, specifically accounting for all the features inherent to the reactive gas and its interactions with the particulate phase.
DEEP Learning For Large Deep Imaging Programs – DEEPDIP
In future large surveys like LSST or Euclid, high precision photometric redshift measurements and light curve classification will play a central role. We propose to revisit the current methods used to analyze these data by developing deep learning techniques that will directly use the multi-band images at the pixel level to measure a redshift or to perform a classification.
Attentional control of the auditory cortex – ALERT
cortex (A1), and that the encoding of acoustic features depends critically on whether the listener is [...] facilitate perception of behaviorally meaningful features. The primary aim of our project (ALERT) is to
Algorithms, Approximations, Sparsity and Sketching for AI – AllegroAssai
to ensure privacy when captured video streams feature pedestrians or licence plates. Similar constraints [...] together with sketching techniques using random features, are key in harnessing the fundamental tradeoffs
Analysis and tRansformation of Singing style – ARS
musically and artistically relevant singing style features, while signal-processing specialist will establish
Atomic carbon source from C(0)-complexes – ATOMIC
complexes as atomic carbon sources. Carbon complexes featuring two lone pairs, supported by two labile L-ligands
SOLvers for Heterogeneous Architectures over Runtime systems, Investigating Scalability – SOLHARIS
SOLvers for Heterogeneous Architectures over Runtime systems, Investigating Scalability