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Deep learning for automatic image-based biomonitoring of aquatic ecosystems – BIOINDIC-IA
g of aquatic ecosystems by using artificial intelligence for the automatic processing of microscope images
Deep learning and Deep characterization of Peptides for the control of plant nutrition – DeepPep
we will develop a deep learning (Artificial Intelligence [AI]) model having the ambition to predict synthetic
Deep generative and inference models for weakly-supervised speech enhancement – DEGREASE
are necessary to improve speech quality and intelligibility. The vast majority of current algorithms rely
Deep Spiking networks for Embedded and Efficient intelligence in autonomous systems – DeepSee
Autonomous and intelligent embedded solutions are mainly designed as cognitive systems composed of a
Deep Neural Networks for the design of photonic devices – DNN4Photonics
studies have explored the potential of Artificial Intelligence (AI), specifically Deep Learning (DL), for [...] in DNN4Photonics a key focus is to find an intelligent and efficient formulation for DNN-based inverse
Deep Learning meets Numerical Analysis – DeepNuM
directly positioned in the axis 5.2 Artificial Intelligence: Machine Learning/Deep Learning and their m
Deep Learning for Prediction of Judicial Outcome – LAWBOT
project aims to create an artificial case-law intelligence capable of predicting the judicial outcome for [...] sum allocated to the claimant using artificial intelligence (AI) models. - Fourth, generate from the IA
Deep Learning for Constraint Optimization – DELCO
This project aims at building on recent progress in game playing and deep reinforcement learning to design a new generation of more general constraint satisfaction and optimization solvers.
Deep Learning for Analysis of Electron Microscopy Imaging of Nanoalloys – Nano-Insight
crossroads of nanotechnology and artificial intelligence, striving to redefine the standards of electron
Deep Co-design of a Privacy Preserving Intelligent Camera – DOOPLER
Today, we are surrounded by surveillance systems that generate billions of images per day processed by computer vision techniques. This situation raises legal issues related to privacy. If privacy is
