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Low-Energy On-chip Pre-processing for Activity Recognition – LEOPAR
The LEOPAR project aims at exploring innovative circuit structures in fine-pitch CMOS technologies, that leverage the benefits of both analog and digital signal processing for addressing the issues of combined configurability and silicon area occupation of the pre-processing unit while staying compe
Lymphocyte-sparing AI-guided radio-immunotherapy
Le projet LySAIRI ( Lymphocyte-Sparing Artificial Intelligence-guided Radio-Immunotherapy ) a pour objectif de développer une radiothérapie de nouvelle génération, dite « d’épargne lymphocytaire », qui soit au moins aussi efficace que les techniques utilisées actuellement mais avec l’avantage de p
MAchine learning for environmental TIme Series – MATS
MATS project introduces novel approaches in machine learning for time series, with a specific focus on methods that scale and that can operate even when labelled data is scarce. More specifically, the MATS project aims at introducing new paradigms for large scale time series classification, spatio-
MAgnon Excitation in the STRong Out-of-equilibrium regime – MAESTRO
The consortium has previously established the relevance of hybrid insulating ferromagnetic (YIG) / normal metal (Pt) systems in this context. It also uncovered issues related to the non-linear effects that limit the amplitude of the spin waves on which the operation of these devices is based. To ove
METHODOLOGY FOR ANALYSING THE ELECTROMAGNETIC VULNERABILITY OF AUTONOMOUS ROBOTS – MAVERA
Society as a whole is making increasing use of electronic systems in the broad sense, but also particularly robotics, whether in the context of connected objects, home automation or industrial production. But the drive towards this robotisation of our society is also affecting the armies, which are
MEdication for Diabetes with Insulin Contained In Nanogels – MEDICIN
Development of smart insulin carriers for closed–loop delivery Diabetes mellitus is a disorder of glucose regulation, characterized by an accumulating glucose concentration in the blood. It has considerably expanded and represents a tremendous social, economical and political challenge of our cent
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
MLDR: A Machine Learning-Driven Radio Interface – MLDR
1.Project summary In the following years, we will see the advent of many new applications and use-cases such as the metaverse, the adoption of XR/VR, holographic telepresence, the Internet of the Senses, the consolidation of the Internet of Things, with autonomous robots, fully automated industries
