From affordability to carbon output, there are many reasons to bring topological optimization out of the realm of 3D printing and into the real world. Share on Facebook (opens in a new window) Share ...

As AI continues to advance, infrastructure must evolve to enable access and delivery of real-time information at scale. In partnership withBright Data AI is booming. New use cases are emerging each ...

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aDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA bDepartment of Medicine, University of California Los Angeles, Los Angeles, CA, USA cDepartment of Medicine, ...

Abstract: In this work, we focus on solving non-smooth non-convex maximization problems in multi-group multicast transmission. By leveraging Karush-Kuhn-Tucker (KKT) optimality conditions, we ...

Abstract: Metaheuristics are widely recognized gradient-free solvers to hard problems that do not meet the rigorous mathematical assumptions of conventional solvers. The automated design of ...