An examination of antitrust and competition considerations relating to the use of pricing algorithms and other AI systems, including the relevant legal issues and how to design algorithms to minimize ...

Algorithm streamlines vascular system design for 3D printed hearts by Laura Castañón, Stanford University edited by Robert Egan Editors' notes ...

Deep learning models, with a prerequisite of large databases, are common approaches in applying machine learning for inverse design in photonics. For these models, less expensive, approximate methods ...

In order to solve the challenges of designing and improving low-temperature SCR catalysts for chemicals, in view of the shortcomings of the Learning sting AHP algorithms, this study proposes an ...

While our proposed algorithm and integrated co-design strategy showcase significant improvement toward energy efficiency and accuracy, we acknowledge challenges such as catastrophic forgetting and the ...

EUREKA, a reward design algorithm driven by LLMs, attains human-level reward generation, excelling in 83% of tasks with an average of 52% improvement. Combining LLMs with evolutionary algorithms ...