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Machine Learning and Interpretation of Sub-Surface Architectures – MaLISSiA
Artificial intelligence and digital twins offer tremendous opportunities for modelling and understanding [...] and the development of innovative artificial intelligence methods. The MaLISSiA project draws its inspiration
Machine Learning and Econometrics for Risk Measurement in Finance – MLEforRisk
Financial institutions increasingly rely on Machine Learning to measure and manage risk. While these tools can improve predictive performance, they often lack transparency, robustness and regulatory acceptability. This project is based on the need to combine Machine Learning with econometric methods in order to develop risk models that are both reliable and interpretable, and that can be used responsibly by financial institutions and supervisors.
MLDR: A Machine Learning-Driven Radio Interface – MLDR
with such complexity, the use of Artificial Intelligence and Machine Learning (AI/ML) techniques—and
MIAI @ Grenoble Alpes
(MIAI) est l'Institut Interdisciplinaire en Intelligence Artificielle (3IA) de Grenoble créé en septembre [...] prochaine génération de modèles et de systèmes d'intelligence artificielle (IA), depuis les architectures [...] de nouvelles technologies pour les réseaux intelligents. Elle ouvre également la voie à de nouveaux
MEdication for Diabetes with Insulin Contained In Nanogels – MEDICIN
insulin. The MEDICIN project intends to develop intelligent insulin nanocarriers, which would deliver the
METHODOLOGY FOR ANALYSING THE ELECTROMAGNETIC VULNERABILITY OF AUTONOMOUS ROBOTS – MAVERA
during their intervention, of this electronic 'intelligence'. Thus, at the same time as this robotic sphere
MAgnon Excitation in the STRong Out-of-equilibrium regime – MAESTRO
The main objective of the ANR Maestro is to demonstrate the manipulation of high amplitude spin waves (SW) or magnons in magnonic devices. These could contribute to a new hardware paradigm based on the transport of pure spin currents (without associated charge transport, therefore sustainable) which would revolutionize information technologies.
MAchine learning for environmental TIme Series – MATS
A huge trend in recent earth observation missions is to target high temporal and spatial resolutions (\emph{e.g.} SENTINEL-2 mission by ESA).<br />Data resulting from these missions can then be used for fine-grained studies in many applications.<br />In this project we will focus on three key environmental issues: agricultural practices and their impact, forest preservation and air quality monitoring.
Lymphocyte-sparing AI-guided radio-immunotherapy
projet LySAIRI ( Lymphocyte-Sparing Artificial Intelligence-guided Radio-Immunotherapy ) a pour objectif [...] d’une tumeur à partir du scanner, grâce à une intelligence artificielle. Actuellement, l’algorithme peut
