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 ...

Engineering design optimization problems are often characterized by high dimensionality, complex constraints, and multimodal search landscapes, which pose significant challenges to conventional ...

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.

Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically share information with each other. Understanding how information moves ...

EPFL Professor Giuseppe Carleo and a graduate student from Columbia University named Matija Medvidović have found a way to execute a complex quantum computing algorithm on a traditional computer.

Building proteins with AI is like furnishing a house. There are two main strategies. One is the IKEA approach: you buy pre-made pieces that easily snap together, but can only hope the furniture ...

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 ...