Chinese AI startup MiniMax, headquartered in Shanghai, has sent shockwaves through the AI industry today with the release of ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

Scientific computing in Python is typically fragmented across multiple specialized libraries such as NumPy, SciPy, SymPy, scikit-learn, and domain-specific toolkits for cryptography, optimization, and ...

1 Department of Quantitative Methods, University of Sousse, Sousse, Tunisia 2 Department of Quantitative Methods, College of Business, King Faisal University, Al-Ahsa, Saudi Arabia Introduction: ...

Abstract: Mathematical optimization is the process of determining the set of globally or locally optimal parameters in a finite or infinite search space. It has been extensively employed in the ...

Abstract: To optimize the converter efficiency, footprint and volume of magnetic devices simultaneously, this paper proposes a mathematical modeling and multi-objective optimization method based on ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In our recently published article, we compared different ...

In this blog, we will discuss how Keysight RF Circuit Simulation Professional revamps RF circuit simulation and optimization. Discover how to achieve efficient, accurate designs for even the most ...