Telecom SudParis (IP Paris), France Background Epilepsy is a chronic neurological disease that poses significant challenges to patients and their families, as such, effective detection and prediction of epilepsy can facilitate patient recovery, streamlining healthcare processes [1]. To perform this detection process, machine learning based methods, with recently deep learning…
Recruit a end of study engineer or Master 2 student in electronics or computer science. The aim of this internship is to explore the potential energy and latency benefits of quantification in radio astronomy imaging. Keywords: quantification, radio astronomy, high-performance computing, energy, optimization Context Radio-interferometers image the sky in radio…
Sujet de stage : « Navigation résiliente sur terrains précaires avec un Ballbot« Résumé : Cette proposition de stage décrit un projet de recherche visant à doter un ballbot de la capacité de surmonter les obstacles qu’il pourrait rencontrer lors de sa navigation. L’objectif de ce travail est de définir les actions…
The foundation model (FM) paradigm is undoubtedly a major breakthrough in Machine Learning (ML) for Artificial Intelligence (AI). An FM is a large-scale neural network pre-trained with self-supervision on a vast unannotated dataset and designed to perform downstream tasks with minimal fine-tuning on small annotated datasets. While FMs have made…
Anomaly detection is a challenge in itself. The capacity to detect anomalies is a major ingredient of safe and trustworthy AI systems across major application areas. Anomaly detection is unsupervised by nature, since abnormal events are rare, varied, and cumbersome to collect. Conventional methods can be roughly grouped into three…
Contexte Les troubles moteurs et de la coordination chez l’enfant, tels que les troubles développementaux de la coordination ou certaines atteintes neuromotrices, ont un impact important sur les apprentissages, l’autonomie et la qualité de vie. Leur évaluation clinique repose principalement sur des observations expertes et des tests standardisés, dont l’objectivation…
Centrale Lyon – LIRIS, INL, LTDS laboratories
Keywords: Inverse problem; Wave diffraction; Deep learning; Physics-assisted neural networks; Complex-valued neural networks; Phase equivariance; Computational imaging Context: The framework of this internship project lies in the field of microwave imaging, which has attracted significant interest due to its potential as a practical and efficient technique for medical systems, material…
Alfa Laval Golbey est un acteur de référence dans la cryogénie, spécialisé dans la conception et la fabrication d’échangeurs de chaleur brasés utilisés dans l’industrie du gaz (séparation de l’air, GNL, hydrogène, pétrochimie…). Un précédent stage a permis de développer une première solution de comptage des défauts de compacité dans…
