Given the current state of practice and visions for the future (including AI), certain practices should be reevaluated. This ...
When electricity or fuel powers a machine, the machine gets hotter. Finding new ways to cool machines quickly and ...
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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 ...
Abstract: The presence of equality and inequality constraints is of significant importance in expensive constrained optimization. This study aims to develop a surrogate-assisted evolutionary algorithm ...
High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...
The world of sports has undergone a remarkable transformation in the digital age. From the detailed statistics of the NBA to the intricate strategies in gaming, technology has reshaped how fans and ...
A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...
In my nearly two decades helping businesses navigate local search, I’ve seen a lot of trends come and go. But what’s happening in 2025 signals a potential breakdown of the old local SEO model. And if ...
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