Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
. [1] Baratchi, M., Wang, C., Limmer, S., van Rijn, J. N., Hoos, H., Bäck, T., Olhofer, M.: Automated machine learning: past, present and future. Artificial Intelligence Review, 2024 [2] Bahri, M., Bifet
-
, P. (2024). Taking the human out of decomposition-based optimization via artificial intelligence, Part I: Learning when to decompose. Computers & Chemical Engineering, 186, 108688. Mitrai, I
-
artificial intelligence (AI) [Iglesias2022] with low-field MRI technology. Unlike conventional MRI systems that rely on high magnetic fields (1.5-7T), this approach aims to democratise access to MRI by
-
still present in Nature and the Universe but also with the environment of calculation and artificial intelligence, methods and tools essential to the optimization of information processing. Finally, the
-
, and service requirements to ensure effective solutions, addressing both data rate and energy efficiency. The thesis also includes network-related aspects and artificial intelligence techniques. 1.5
-
internal waves and mesoscale eddies, which in turn offer valuable insights into ocean dynamics and energy transfer mechanisms between the ocean and the atmosphere. Artificial Intelligence (AI) technologies
-
also with the environment of calculation and artificial intelligence, methods and tools essential to the optimization of information processing. Finally, the design of new instruments remains a field
-
the umbrella term “Generative Artificial Intelligence” (Gen-AI), and are being quickly adopted by the general public, the most notable examples being conversational models such as ChatGPT, text-to-image models
-
experimental validation, and (4) artificial intelligence with the implementation of a machine learned model for predicting FE models. 1.5. References 2. Partners and study periods 2.1. Supervisors and study