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 ...

Yet another study shows that the more you let artificial intelligence do the thinking for you, the less capable you are on your own. This time, researchers at MIT tested how relying on AI to tell fake ...

As the data-center boom puts pressure on the grid, some companies say the answer isn’t just more power plants but software that dials down centers’ energy-guzzling ways when demand spikes. At the end ...

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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 ...