Developed by Professor Sam Kriegman, AI-designed metamachines can run in the wild, recover from damage, and transform into new shapes.

Abstract: In scenarios where multiple decision-makers operate within a common decision space, each focusing on their own multi-objective optimization problem (e.g., bargaining games), the problem can ...

Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) have been widely developed to solve complex and computationally expensive multiobjective optimization problems (EMOPs) in recent years.

Meta on Wednesday debuted an AI feature called "Dear Algo" that lets Threads users personalize their content-recommendation algorithms. Threads users will be able to tell the Dear Algo tool what kinds ...