Kimi Linear is a groundbreaking hybrid attention architecture that combines the best of both worlds: the efficiency of linear attention and the performance of full attention mechanisms. This ...
Abstract: This paper considers personalized mixed-integer programming problems (MIPs) with global coupled constraints, where each cost function is associated with both local and global decisions. In ...
GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...
Abstract: This article proposes a constrained evolutionary Bayesian optimization (CEBO) algorithm to cope with expensive constrained optimization problems with inequality constraints. The uniqueness ...
From the UCSB The Current article "Innovative Hardware for Rapidly Solving High-order Optimization Problems" The rise of AI, graphic processing, combinatorial optimization, and other data-intensive ...