Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
The detection of out-of-distribution (OoD) samples is crucial for deploying deep learning (DL) models in real-world scenarios. OoD samples pose a challenge to DL models as they are not represented
-
with a high pulse power device. Another study intends to develop non-thermal electrons distribution which is of trendemous importance for UHI experiments. Durée du contrat (en mois) 2 ans + 2 x 1an
-
on this benchmark. - Write a publication about this benchmark. #Cea List Moyens / Méthodes / Logiciels AI, Deep Neural Network, Computer Vision, Human behavior analysis Profil du candidat Profile - Students in
-
of the DBSCI (imaging platforms of the LPCV, IBS, PFNC, equipped with instruments such as FIB-SEM and cryo-TEM, etc.). You will work in close collaboration with IBS to build a local network aimed at developing
-
further supports efficient design space exploration via optimization strategies. This role is part of EU-funded research projects on next-gen HPC networks and open-source EDA tools, with a focus on optical