Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...
Abstract: In combinatorial optimization problems, traditional optimization algorithms are often difficult to efficiently find the global optimal solution. This paper studies the application of genetic ...
Formula 1 teams live in a world where a single misjudged flick of carbon fiber can decide a championship. Aerodynamicists are ...
1 College of Art and Design, Wuhan Textile University, Wuhan, China 2 College of Chemistry and Chemical Engineering, Wuhan Textile University, Wuhan, China The final, formatted version of the article ...
Abstract: Artificial intelligence has transformed healthcare through improved disease prediction and diagnostic accuracy. However, the prediction of osteoporosis remains challenging due to limitations ...
Revolutionary AI agent framework using genetic evolution, liquid neural networks, and ML analytics for self-optimizing, production-ready multi-agent systems.
ABSTRACT: Induction motors are widely employed in industrial applications due to their robustness, speed consistency, and cost efficiency. However, during startup, they draw a high inrush current that ...