(AGENPARL) – ESCH-SUR-ALZETTE gio 27 aprile 2023 Fully virtual ( contact Dr. Jakub Lengiewicz to register) Fonte/Source: https://wwwfr.uni.lu/index.php/fstm/actualites/machine_learning_seminar_meeting_joint_optimisation_of_energy_harvesting_and_sensing_of_piezoelectric_energy_harvesters_in_a_cable_stayed_bridge_based_on_a_deep_learning_framework
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(AGENPARL) – OAK RIDGE lun 17 aprile 2023 Deep learning–based data analysis software by ORNL promises to accelerate materials research <span…
(AGENPARL) – MASSACHUSETTS AVE CAMBRIDGE (USA) ven 07 aprile 2023 In Greg Fournier’s line of work — studying living systems that…
(AGENPARL) – SILVER SPRING lun 03 aprile 2023 This webinar will take an in-depth look into the following three types of…