This paper presents a robust multi-objective optimization approach—the multi-objective starfish optimization algorithm (MOSFOA)—designed to address complex challenges in engineering design and optimal ...

Compact and lightweight metasurfaces—which use specifically designed and patterned nanostructures on a flat surface to focus, shape and control light—are a promising technology for wearable ...

Metaheuristic algorithms are a class of algorithms used to solve complex optimization problems by employing search and optimization techniques to find the best or near-optimal solutions. Over the past ...

An international team of scientists from the University of Luxembourg, Berlin Institute for the Foundations of Learning and Data (BIFOLD) at TU Berlin and Google has now successfully developed a ...

Designing a complex electronic device like a delivery drone involves juggling many choices, such as selecting motors and batteries that minimize cost while maximizing the payload the drone can carry ...

Overview: Artificial intelligence allows algorithms to learn patterns and make smart decisions without fixed ...

Technology is continuously advancing and exponentially increasing the amount of data produced. Data comes from a multitude of sources and formats, requiring systems to process different algorithms.

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...

This transcript was prepared by a transcription service. This version may not be in its final form and may be updated. Danny Lewis: The term algorithm is so often wrapped up in conversations about the ...