SI: Computational Optimization
Computational optimization plays a pivotal role in contemporary artificial intelligence (AI) research and development, becoming an essential tool for enhancing the efficiency and performance of these systems. As the volume of data and the complexity of AI algorithms continue to grow, the ability to optimally allocate computational resources, minimize processing time and energy consumption, and improve the quality of modeling and predictions becomes critically important. Therefore, investigating and developing new methods of computational optimization directly impacts the pace of scientific progress in the AI field and facilitates the broader implementation of artificial intelligence technologies across various aspects of life.
Submission deadline: 16 September 2024
Guest editors:
Roland Hildebrand (Univ. Grenoble Alpes, CNRS, Grenoble)
Engeny Burnaev (Skolkovo Institute of Science and Technology, Russia)
Martin Takac (MBZUAI )
Alexander Gasnikov (Moscow institute of Physics and Technology)