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Ecole Nationale Supérieure des Mines de Saint Etienne | Saint Etienne, Rhone Alpes | France | 2 months ago
ENFIELD. Mines Saint-Étienne conducts research on sustainable AI from the angle of computational cost of machine learning and lifecycle assessment of AI systems. Scientific challenges: Language models and
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. The reason is the overhead caused by specific hardware we use to train or execute neural networks. To make deep learning algorithms efficient in real life it is important to combine software and hardware
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generic approach allowing the accurate, robust, and fast simulation of the optimal fracture reduction strategy whatever the type and class of the fracture. Combined approaches exploiting both Deep-Learning
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, P. N., Gomes, A., & Feitosa, R. Q. (2019). Evaluation of deep learning techniques for deforestation detection in the amazon forest. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial
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and apply Deep Learning tools for protein modeling, small molecule docking, and structure prediction. • Collaborate with interdisciplinary teams to advance research goals and contribute to scientific
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, deep learning-based image methods have emerged as a prominent tool in medical image processing. While they have shown impressive success in various computer vision tasks, their application in the medical
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and apply Deep Learning tools for protein modeling, small molecule docking, and structure prediction. • Collaborate with interdisciplinary teams to advance research goals and contribute to scientific
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the limits of the scale in force. Mission confiée The main objective of this project is the understanding and development of robust and effective stochastic optimization methods for training deep learning
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Description The person recruited will be responsible for the development of a computer system that combines deep learning, natural language processing, and psychology of language. - Develop, manage and
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or a synthetic CT via different methods such as bulk density assignment (BDM), atlas-based and deep learning (DL) methods [2]. In the literature, however, teams have sought to use proton density