A self-learning optimizer improved gas production while cutting gas lift usage by 44% across five Delaware basin wells ...
LinkedIn’s Karthik Ramgopal and Prince Valluri discuss leveraging AI as a new execution model for large-scale engineering.
FORT LEONARD WOOD, Mo. — U.S. Army Maneuver Support Center of Excellence and Fort Leonard Wood leaders held a town hall Jan. 7 to discuss MSCoE’s role in bolstering a more efficient, agile and lethal ...
In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
Market-cap weighted crypto indexes underpin funds that hold huge slugs of bitcoin and ether, but plans for new ones could expand beyond the biggest and well-known coins. The latest comes from S&P ...
Abstract: In this paper, we introduce a novel approach for addressing the multi-objective optimization problem in large language model merging via black-box multi-objective optimization algorithms.
Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results