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Cognitive Planning in Persuasive Multimodal Communication – CoPains
The general objective of the CoPains project is to develop an artificial agent which is capable of: (i) inferring the cognitive and affective states of the human user from her observable behaviors, (ii) influencing and persuading the human user to believe something and/or to behave in a certain way,
Robust voice command adapted to the user and to the context for AAL – VOCADOM
The industrial research project VOCADOM aims to define, in conjunction with end users, the features of a distant voice controlled home automation system that will adapt to the user and that can be used in real conditions (noise, presence of several people). To solve the challenges related to distant
Physics informed neural networks fro harmonic Maxell equations – MAXINET
The MAXINET project aims to develop a new generation of artificial intelligence (AI)-enhanced digital engineering tools for solving harmonic Maxwell's equations applied to the design of radio-frequency components and systems. These tools are based on the Physics-Informed Neural Network (PINN) conce
High intensity positron beams for the next breakthroughs – INSPIRER_Ukraine
Positron sources are essential to the future e+e-/µ+µ- collider projects (ILC, CLIC, FCC-ee, LEMMA, etc.) with challenging critical requirements of high-beam intensity and low emittance necessary to achieve high luminosity. The intensities required from the positron sources at the future colliders a
EQUitable prIvacy for Health data-centric services – EQUIHid
The health sector is currently challenged by the advent of e-health services and by exceptional circumstances, e.g., the Covid-19 pandemic. These challenges have mainly showed a critical need on the wide collaboration between health actors and the efficient sharing of concrete data. However, the pro
Probabilistic prediction Of Extreme weather events based on ai/physics SYnergy – POESY
The POESY project aims at improving the probabilistic prediction of high-impact weather (HIW) events with an innovative combination of standard physical modelling approaches and computationally-efficient Artificial Intelligence (AI) methods. Probabilistic prediction currently takes the form of small
Electrical Multiscale Bio-inspired Live-skin interfaces in Aeronautics – EMBIA
Inspired from the highly efficient aerodynamics of birds, versatility of the jelly-moon fringes, manta ray and sharks, the multidisciplinary project EMBIA creates a “live skin” composed of an innovative moving interface between an air-vehicle and the surrounding turbulence. The solid-fluid interface
MIAI @ Grenoble Alpes
MIAI@Grenoble Alpes (MIAI) est l'Institut Interdisciplinaire en Intelligence Artificielle (3IA) de Grenoble créé en septembre 2019 par le gouvernement français. Avec PRAIRIE à Paris, 3IA Côte d'Azur à Nice et Aniti à Toulouse, MIAI participe au réseau des instituts 3IA. MIAI développe la prochaine g
Integrative Approach for Operational Sargassum Stranding Forecasts – SargAlert
The objective of the SargAlert project is to improve the prediction of strandings of the invasive species Sargassum in the tropical Atlantic Ocean, particularly in the Caribbean Sea, through synergy between satellite data / ocean transport modeling / in-situ biological measurements. SargAlert will p
Towards a computational multimodal analysis of film discursive aesthetics – TRACTIVE
With the advances in Artificial Intelligence (AI) and computational linguistics, we are now in place to conduct quantitative analysis to identify and extract recurrent visual and textual patterns from media content. Yet, such an analysis requires an iterative approach in concert with qualitative med
