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 ...
GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...
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 ...
FICO Xpress 9.8 features a GPU-accelerated implementation of the hybrid gradient algorithm, yielding up to 50x speedups for very large optimization problems FICO Xpress Optimization has the widest ...
Support for Distributed GPU Training for scalable model training across multiple devices. Integration of the WorldPose Dataset as an additional benchmark for training and evaluation. Camera ...
Abstract: In this article, we deal with stochastic optimization problems where the data distributions change in response to the decision variables. Traditionally, the study of optimization problems ...
FAYETTEVILLE, GA, UNITED STATES, December 31, 2025 /EINPresswire.com/ — Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by ...
Abstract: In this paper, we propose a joint real-time trajectory design, power control, and base station (BS) selection scheme in the unmanned aerial vehicle (UAV)-enabled integrated sensing and ...
Large Language Models (LLMs) have demonstrated impressive capabilities across numerous fields, presenting an opportunity to revolutionize optimization problem-solving, a crucial, ubiquitous, and ...
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